24 October 2024 7:48:52.449 PM SPAETH_TEST(): FORTRAN90 version Test SPAETH(). TEST01 DATA_SIZE reports the size of a data set. DATA_R_READ reads a real data set. DATA_R_SHOW makes a plot of them. Data set is in file spaeth_01.txt Number of data items is 37 Dimension of data items is 2 DATA_D_READ: Number of lines read was 54 .................................................... . * ** *. . * * . . * * * *. . * * * * * * * . .* . . * . . * * . . . . . . . . . . * . . * * . . * * . . * * . . * . . * . . . . * . . . . * . . * * * . . * * . . . . . .................................................... TEST01 DATA_SIZE reports the size of a data set. DATA_R_READ reads a real data set. DATA_R_SHOW makes a plot of them. Data set is in file spaeth_02.txt Number of data items is 41 Dimension of data items is 2 DATA_D_READ: Number of lines read was 58 .................................................... . * * . . *. . * * * . . . . * * . . * . . * * . . * . . * * * . .* * *. . * . . * . . * * . . * * . . * . . * . . * * * *. .* * . . * . . * . . . . * * * . . * . . * * . . * . .................................................... TEST01 DATA_SIZE reports the size of a data set. DATA_R_READ reads a real data set. DATA_R_SHOW makes a plot of them. Data set is in file spaeth_03.txt Number of data items is 44 Dimension of data items is 2 DATA_D_READ: Number of lines read was 61 .................................................... . * * * * @****@. . * * * *. . * * * **. . * * * *. . * * ***. . * * * . . * . .* * * . . . . . . . . * * . . * . . . . . . . . . . . . * * . . . . . . * . . * . . . . . .................................................... TEST01 DATA_SIZE reports the size of a data set. DATA_R_READ reads a real data set. DATA_R_SHOW makes a plot of them. Data set is in file spaeth_04.txt Number of data items is 73 Dimension of data items is 2 DATA_D_READ: Number of lines read was 90 .................................................... . * . . * . . * *** * * . . * * ** * . . * * * . .* . . *** * * * * . . * * * . . * * * * . . * * * . . * * . . * * ** . . * * . . * * * . . * * . . * *. . * * . . * * . . * . . * . . * * . . * * * . . ** * * ** * . . * * * . . * * * . .................................................... TEST01 DATA_SIZE reports the size of a data set. DATA_R_READ reads a real data set. DATA_R_SHOW makes a plot of them. Data set is in file spaeth_05.txt Number of data items is 55 Dimension of data items is 2 DATA_D_READ: Number of lines read was 74 .................................................... . * * *. . * * *. . * * . . . . * * * * . . * * * * . . * * * . . * * . . * * * . . * * * * * . . * * * . . * * * * . . * * . . * * * . . * * . . * * . . . . * . .* * * * . . . . . . * * . . . . * . . * * . .................................................... TEST01 DATA_SIZE reports the size of a data set. DATA_R_READ reads a real data set. DATA_R_SHOW makes a plot of them. Data set is in file spaeth_06.txt Number of data items is 50 Dimension of data items is 2 DATA_D_READ: Number of lines read was 69 .................................................... . * @ . . * . . * . . * . . *. . * * * . . * . . * * * . . * * . . * * * * * . . . . * * * . . * . . * * * . . * * * . . . . * * . . * . . * . .* . . * . . . . . . * * * * * . . * * * ** * * * . .................................................... TEST01 DATA_SIZE reports the size of a data set. DATA_R_READ reads a real data set. DATA_R_SHOW makes a plot of them. Data set is in file spaeth_07.txt Number of data items is 52 Dimension of data items is 2 DATA_D_READ: Number of lines read was 71 .................................................... . * * . . * * . . . . * * . . . . * * * * . . . . * * * * . . * * . . * * . . * * * * . . * * . . * * * . . * * * * * . . * * * . . * * * * . . * * * * * . . . . * * * * * . . *. .* * . . . . . . . . . .................................................... TEST01 DATA_SIZE reports the size of a data set. DATA_R_READ reads a real data set. DATA_R_SHOW makes a plot of them. Data set is in file spaeth_08.txt Number of data items is 80 Dimension of data items is 2 DATA_D_READ: Number of lines read was 99 .................................................... . * * @ * . . * . . * * . . * * * . . . . * * * . . * . . * * * . . * . .* * * . . * ** * . . * * * * * . . * * . . * * * * . . * * . . * * * . . * * . . * * * * * * . . * * * * * * . . * * . . * * * * * * * . . * . . * * * * * * . . * * *. .* * * * *. .................................................... TEST02 DATA_SIZE reports the size of a data set. DATA_I_READ reads an integer data set. Data set is in file spaeth_09.txt Number of data items is 122 Dimension of data items is 24 TEST03 TRWEXM clusters the data. CLUSTER_SHOW shows the clusters. Data set is in file spaeth_01.txt Number of data items is 37 Dimension of data items is 2 Number of clusters is 3 DATA_D_READ: Number of lines read was 54 .................................................... . B BB B. . C B . . C C B B. . C B B . . C C C C . .C . . C . . C C . . . . . . . . A . . . . A . . A A A . . A . . A A . . . . A . . A . . . . A . . . . A A A . . A A . .................................................... M = 37 N = 3 IT = 2 D = 1557.78 1 16 1080.75 2 9 86.4444 3 12 390.583 TEST04 LDLT computes the Cholesky decomposition of a general storage positive definite symmetric matrix: A = L * D * L' where L is an unit lower triangular matrix and D is a diagonal matrix. The matrix order is N = 4 The desired Cholesky factor L: Col 1 2 3 4 Row 1 1.00000 0.00000 0.00000 0.00000 2 0.530199 1.00000 0.00000 0.00000 3 0.599479 0.694415 1.00000 0.00000 4 0.692356 0.192620 0.669186 1.00000 The desired Cholesky factor D: Col 1 2 3 4 Row 1 0.718194 0.00000 0.00000 0.00000 2 0.00000 0.653704 0.00000 0.00000 3 0.00000 0.00000 0.504462 0.00000 4 0.00000 0.00000 0.00000 0.824111 The matrix A: Col 1 2 3 4 Row 1 0.718194 0.380785 0.430542 0.497246 2 0.380785 0.855596 0.682214 0.389556 3 0.430542 0.682214 1.07779 0.723106 4 0.497246 0.389556 0.723106 1.41854 The computed Cholesky factor L: Col 1 2 3 4 Row 1 1.00000 0.00000 0.00000 0.00000 2 0.530199 1.00000 0.00000 0.00000 3 0.599479 0.694415 1.00000 0.00000 4 0.692356 0.192620 0.669186 1.00000 The computed Cholesky factor D: Col 1 2 3 4 Row 1 0.718194 0.00000 0.00000 0.00000 2 0.00000 0.653704 0.00000 0.00000 3 0.00000 0.00000 0.504462 0.00000 4 0.00000 0.00000 0.00000 0.824111 The computed product L * D * L': Col 1 2 3 4 Row 1 0.718194 0.380785 0.430542 0.497246 2 0.380785 0.855596 0.682214 0.389556 3 0.430542 0.682214 1.07779 0.723106 4 0.497246 0.389556 0.723106 1.41854 TEST05 TRWEXM clusters the data. Data set is in file spaeth_04.txt Number of data items is 73 Dimension of data items is 2 DATA_D_READ: Number of lines read was 90 Cluster size = 2 1 3 17124.5 2 3 17124.5 3 2 17124.5 4 2 17092.2 5 2 17124.5 6 2 17092.2 7 3 17124.5 8 2 17124.5 9 3 17124.5 10 3 17124.5 11 2 17092.2 12 4 15862.5 13 2 17092.2 14 2 15862.5 15 2 16494.2 16 2 16494.2 17 2 17092.2 18 2 17124.5 19 2 17124.5 20 2 17092.2 Cluster size = 3 1 6 8626.95 2 5 8626.95 3 6 10189.6 4 3 8626.95 5 7 8626.95 6 3 8626.95 7 3 8626.95 8 6 8626.95 9 2 8626.95 10 3 8626.95 11 5 8626.95 12 2 8626.95 13 6 8626.95 14 7 10189.6 15 6 8626.95 16 3 8626.95 17 4 8626.95 18 7 8626.95 19 7 8626.95 20 4 8626.95 Cluster size = 4 1 6 5437.13 2 4 5424.11 3 2 5437.13 4 3 5437.13 5 6 5449.66 6 5 5437.13 7 7 5437.13 8 4 5424.11 9 3 5437.13 10 6 5437.13 11 6 5437.13 12 5 5449.66 13 5 5437.13 14 5 8006.90 15 6 5449.66 16 6 5424.11 17 6 5437.13 18 5 5437.13 19 3 8006.90 20 5 5437.13 Cluster size = 5 1 4 4809.70 2 2 4809.70 3 3 4809.67 4 4 4800.69 5 2 4989.17 6 2 4989.17 7 6 3842.12 8 6 4793.84 9 5 4809.70 10 5 4063.97 11 5 4063.97 12 4 4809.70 13 5 4063.97 14 5 4809.67 15 4 4098.09 16 9 4063.97 17 5 4800.69 18 4 4809.70 19 3 4809.70 20 5 4063.97 Cluster size = 6 1 4 3591.59 2 7 3219.97 3 8 3591.59 4 4 3591.59 5 7 3219.97 6 5 3591.59 7 7 3675.52 8 5 3577.66 9 5 3522.36 10 5 3577.66 11 4 3591.59 12 4 3591.59 13 9 3577.66 14 5 3577.66 15 6 3219.97 16 5 3219.97 17 9 3577.66 18 8 3219.97 19 7 3219.97 20 8 3219.97 TEST06 TRWMDM clusters the data. Data set is in file spaeth_04.txt Number of data items is 73 Dimension of data items is 2 DATA_D_READ: Number of lines read was 90 Cluster size = 2 1 10 17092.2 2 4 17124.5 3 4 17124.5 4 4 15862.5 5 11 17092.2 6 4 18997.1 7 5 17124.5 8 11 17092.2 9 4 17092.2 10 5 15862.5 11 11 17092.2 12 4 15862.5 13 4 16494.2 14 3 15862.5 15 4 16494.2 16 4 16494.2 17 4 16494.2 18 4 16494.2 19 6 15862.5 20 6 16494.2 Cluster size = 3 1 9 9704.54 2 9 9704.54 3 6 8626.95 4 6 8626.95 5 4 10189.6 6 5 9704.54 7 6 8650.14 8 5 8626.95 9 4 8626.95 10 5 8650.14 11 7 8626.95 12 4 8650.14 13 5 9704.54 14 6 9704.54 15 4 8626.95 16 5 8650.14 17 13 9704.54 18 7 10240.0 19 6 8626.95 20 4 8650.14 Cluster size = 4 1 6 5491.60 2 4 8874.05 3 9 5491.60 4 8 5437.13 5 4 5490.79 6 6 5437.13 7 8 5477.14 8 9 5437.13 9 5 5437.13 10 -2 0.00000 11 5 5449.66 12 7 5449.66 13 6 5437.13 14 -2 0.00000 15 6 5444.93 16 7 5480.39 17 8 5437.13 18 4 5437.13 19 8 5491.60 20 4 5572.08 Cluster size = 5 1 6 4818.52 2 8 3842.12 3 -2 0.00000 4 15 4090.02 5 5 5036.40 6 -2 0.00000 7 8 4868.08 8 5 3964.52 9 6 3842.12 10 -2 0.00000 11 -2 0.00000 12 4 4844.42 13 -2 0.00000 14 -2 0.00000 15 -2 0.00000 16 -2 0.00000 17 -2 0.00000 18 -2 0.00000 19 -2 0.00000 20 -2 0.00000 Cluster size = 6 1 -2 0.00000 2 -2 0.00000 3 -2 0.00000 4 -2 0.00000 5 -2 0.00000 6 -2 0.00000 7 -2 0.00000 8 -2 0.00000 9 5 3356.11 10 -2 0.00000 11 -2 0.00000 12 -2 0.00000 13 -2 0.00000 14 -2 0.00000 15 -2 0.00000 16 -2 0.00000 17 8 3791.68 18 9 2518.85 19 9 2518.85 20 7 3564.64 TEST07 TRWMDM clusters the data. TRWEXM clusters the data. The TRWMDM clusters are improved by TRWEXM. Data set is in file spaeth_04.txt Number of data items is 73 Dimension of data items is 2 DATA_D_READ: Number of lines read was 90 Cluster size = 2 1 2 17092.2 2 2 17124.5 3 2 17124.5 4 2 15862.5 5 2 17092.2 6 2 18997.1 7 2 17124.5 8 2 17092.2 9 2 17092.2 10 2 15862.5 11 2 17092.2 12 2 15862.5 13 2 16494.2 14 2 15862.5 15 2 16494.2 16 2 16494.2 17 2 16494.2 18 2 16494.2 19 2 15862.5 20 2 16494.2 Cluster size = 3 1 2 9704.54 2 2 9704.54 3 2 8626.95 4 2 8626.95 5 2 10189.6 6 2 9704.54 7 2 8650.14 8 2 8626.95 9 2 8626.95 10 2 8650.14 11 2 8626.95 12 2 8650.14 13 2 9704.54 14 2 9704.54 15 2 8626.95 16 2 8650.14 17 2 9704.54 18 2 10240.0 19 2 8626.95 20 2 8650.14 Cluster size = 4 1 2 5491.60 2 2 8874.05 3 2 5491.60 4 2 5437.13 5 2 5490.79 6 2 5437.13 7 2 5477.14 8 2 5437.13 9 2 5437.13 10 -2 0.00000 11 2 5449.66 12 2 5449.66 13 2 5437.13 14 -2 0.00000 15 2 5444.93 16 2 5480.39 17 2 5437.13 18 2 5437.13 19 2 5491.60 20 2 5572.08 Cluster size = 5 1 2 4818.52 2 2 3842.12 3 -2 0.00000 4 2 4090.02 5 2 5036.40 6 -2 0.00000 7 2 4868.08 8 2 3964.52 9 2 3842.12 10 -2 0.00000 11 -2 0.00000 12 2 4844.42 13 -2 0.00000 14 -2 0.00000 15 -2 0.00000 16 -2 0.00000 17 -2 0.00000 18 -2 0.00000 19 -2 0.00000 20 -2 0.00000 Cluster size = 6 1 -2 0.00000 2 -2 0.00000 3 -2 0.00000 4 -2 0.00000 5 -2 0.00000 6 -2 0.00000 7 -2 0.00000 8 -2 0.00000 9 2 3356.11 10 -2 0.00000 11 -2 0.00000 12 -2 0.00000 13 -2 0.00000 14 -2 0.00000 15 -2 0.00000 16 -2 0.00000 17 2 3791.68 18 2 2518.85 19 2 2518.85 20 2 3564.64 TEST08 DETEXM clusters the data. Data set is in file spaeth_05.txt Number of data items is 55 Dimension of data items is 2 DATA_D_READ: Number of lines read was 74 Cluster size = 2 1 1 0.890176E-01 2 1 0.890176E-01 3 2 0.890176E-01 4 1 0.890176E-01 5 7 0.890176E-01 6 3 0.890176E-01 7 1 0.890176E-01 8 2 0.890176E-01 9 2 0.890176E-01 10 4 0.890176E-01 11 6 0.890176E-01 12 1 0.890176E-01 13 1 0.890176E-01 14 7 0.890176E-01 15 3 0.890176E-01 16 1 0.890176E-01 17 2 0.890176E-01 18 2 0.890176E-01 19 1 0.890176E-01 20 7 0.890176E-01 Cluster size = 3 1 5 0.125361 2 2 0.404192E-01 3 6 0.128088 4 2 0.404192E-01 5 4 0.247486E-01 6 6 0.124769 7 5 0.404192E-01 8 3 0.404192E-01 9 6 0.128088 10 4 0.247486E-01 11 2 0.404192E-01 12 2 0.404192E-01 13 2 0.404192E-01 14 5 0.124769 15 2 0.404192E-01 16 6 0.128088 17 6 0.128088 18 4 0.404192E-01 19 6 0.128088 20 2 0.404192E-01 Cluster size = 4 1 4 0.103544E-01 2 2 0.324157E-01 3 5 0.103544E-01 4 2 0.103544E-01 5 2 0.324157E-01 6 4 0.103544E-01 7 2 0.324157E-01 8 7 0.103544E-01 9 3 0.307794E-01 10 2 0.324157E-01 11 4 0.307794E-01 12 3 0.307794E-01 13 2 0.324157E-01 14 4 0.103544E-01 15 3 0.307794E-01 16 4 0.103544E-01 17 4 0.103544E-01 18 3 0.307794E-01 19 3 0.307794E-01 20 2 0.324157E-01 Cluster size = 5 1 7 0.520168E-02 2 9 0.520168E-02 3 8 0.520168E-02 4 4 0.541069E-02 5 8 0.520168E-02 6 8 0.520168E-02 7 7 0.520168E-02 8 3 0.254352E-01 9 9 0.541069E-02 10 8 0.541069E-02 11 4 0.254352E-01 12 4 0.671125E-02 13 4 0.434381E-01 14 9 0.541069E-02 15 9 0.541069E-02 16 8 0.520168E-02 17 6 0.775673E-02 18 7 0.520168E-02 19 3 0.254352E-01 20 8 0.541069E-02 Cluster size = 6 1 4 0.453167E-02 2 6 0.479741E-02 3 9 0.363544E-02 4 5 0.363544E-02 5 6 0.361911E-02 6 6 0.361911E-02 7 8 0.363544E-02 8 8 0.479741E-02 9 6 0.361911E-02 10 7 0.479741E-02 11 6 0.363544E-02 12 4 0.241241E-01 13 4 0.236332E-01 14 3 0.241241E-01 15 7 0.385452E-02 16 9 0.363544E-02 17 8 0.363544E-02 18 5 0.235972E-01 19 9 0.361911E-02 20 8 0.363544E-02 TEST09 DWBEXM clusters the data. Minimal cluster population M0 = 3 Determinant exponent BETA = 0.500000 Data set is in file spaeth_05.txt Number of data items is 55 Dimension of data items is 2 DATA_D_READ: Number of lines read was 74 Cluster size = 2 1 1 0.250713 2 3 0.519030 3 1 0.250713 4 2 0.250713 5 2 0.250713 6 2 0.250713 7 2 0.250713 8 3 0.250713 9 2 0.250713 10 2 0.250713 11 2 0.250713 12 1 0.250713 13 1 0.250713 14 2 0.250713 15 2 0.250713 16 5 0.514099 17 1 0.250713 18 2 0.250713 19 3 0.519030 20 1 0.250713 Cluster size = 3 1 5 0.190067 2 3 0.190067 3 5 0.190067 4 4 0.188394 5 5 0.190067 6 2 0.189630 7 3 0.188394 8 2 0.218750 9 4 0.190067 10 2 0.188394 11 5 0.186937 12 4 0.190067 13 5 0.190067 14 3 0.190067 15 3 0.185094 16 3 0.189630 17 8 0.186937 18 3 0.189630 19 4 0.188394 20 7 0.186937 Cluster size = 4 1 7 0.124618 2 4 0.896262E-01 3 6 0.863259E-01 4 7 0.124618 5 3 0.166543 6 9 0.125854 7 7 0.124618 8 4 0.132634 9 5 0.138203 10 6 0.124618 11 6 0.124618 12 6 0.125854 13 -7 0.00000 14 8 0.124618 15 3 0.896262E-01 16 7 0.125854 17 5 0.124698 18 6 0.125854 19 4 0.161243 20 -7 0.00000 Cluster size = 5 1 5 0.106765 2 4 0.106757 3 -7 0.00000 4 4 0.106334 5 5 0.106374 6 3 0.605730E-01 7 -7 0.00000 8 3 0.813429E-01 9 5 0.107483 10 5 0.107572 11 5 0.104095 12 5 0.101718 13 4 0.102585 14 4 0.955650E-01 15 8 0.109420 16 5 0.105331 17 4 0.106765 18 4 0.801076E-01 19 3 0.663503E-01 20 3 0.725802E-01 Cluster size = 6 1 -7 0.00000 2 3 0.904731E-01 3 4 0.543337E-01 4 3 0.738694E-01 5 5 0.547489E-01 6 5 0.104394 7 4 0.582557E-01 8 4 0.903400E-01 9 4 0.904247E-01 10 -7 0.00000 11 5 0.935618E-01 12 3 0.719397E-01 13 -7 0.00000 14 7 0.873087E-01 15 -7 0.00000 16 7 0.887578E-01 17 -7 0.00000 18 6 0.630615E-01 19 4 0.924951E-01 20 -7 0.00000 TEST10 OVSEXM clusters integer ordinal data. Data set is in file spaeth_09.txt Number of data items is 122 Dimension of data items is 24 M N NR IT D J MJ E J MJ E J MJ E J MJ E 122 4 1 16 -2915 1 20 -519 2 35 -1047 3 11 -1460 4 56 111 122 4 2 15 -3125 1 90 596 2 1 -1370 3 5 -1486 4 26 -865 122 4 3 16 -4147 1 1 -876 2 8 -2193 3 104 16 4 9 -1094 122 4 4 16 -5776 1 1 -291 2 93 -398 3 10 -3338 4 18 -1749 122 4 5 13 -962 1 1 -587 2 1 -1190 3 105 986 4 15 -171 122 4 6 12 -1718 1 21 -281 2 2 -1342 3 84 375 4 15 -470 122 4 7 10 -903 1 1 -470 2 19 -669 3 87 429 4 15 -193 122 4 8 16 -3239 1 18 -577 2 96 -84 3 7 -1409 4 1 -1169 122 4 9 8 -1395 1 1 -437 2 3 -1282 3 106 730 4 12 -406 122 4 10 16 -2124 1 1 -604 2 13 -1298 3 99 285 4 9 -507 122 4 11 9 -636 1 30 52 2 84 491 3 6 -652 4 2 -527 122 4 12 16 -2955 1 2 -825 2 51 -1174 3 22 -1121 4 47 165 122 4 13 12 -2238 1 1 -221 2 1 -1021 3 8 -1779 4 112 783 122 4 14 16 -4965 1 4 -679 2 37 -1932 3 66 -1159 4 15 -1195 122 4 15 16 -2991 1 6 -841 2 81 -543 3 25 -852 4 10 -755 122 4 16 16 -2486 1 101 948 2 13 -990 3 7 -1571 4 1 -873 122 4 17 10 -382 1 18 -147 2 92 836 3 8 -521 4 4 -550 122 4 18 16 -3316 1 17 -437 2 1 -1524 3 37 -1416 4 67 61 122 4 19 16 -2046 1 1 -589 2 1 -1290 3 28 -921 4 92 754 122 4 20 12 -2225 1 50 398 2 1 -1254 3 4 -1440 4 67 71 N = 4 NRMAX = 20 1 17 131443441411111124341143 2 1 143111122123343413311111 2 141311121113422112121112 3 233412212334343433342211 4 231212121214311322341212 5 332311111114413111111111 6 432311121313421421211114 7 333412112434334343443241 8 334321111134444433432323 9 142421311324343412341111 10 443313211134444344433331 11 443422112124443332312211 12 443421123344424444443442 13 313143112134334432331132 16 342412321114342413121421 18 313143112134334432321212 19 131211311124313122141432 20 344321111114433331332231 21 343421112224444432432222 22 334211111123422442411111 24 443212212224433333333334 25 343211111223433332222322 26 344322211123433332322111 27 443323211124433423322114 28 434421121224433332211121 29 343221123124442311223111 30 443312212224442322222222 31 344321111124433331331111 32 342331111114432321121121 33 444421212223433332332122 34 342111211124432231311121 35 333321212223433332222221 36 333111221223432221112222 37 444321111113432332321131 38 332321111114321121332112 39 333212111214333332332111 40 333212111223333322221111 41 443311112124433232312111 42 433322121223433232322222 43 433321121124332221422111 44 433321121224432221231111 45 343321123224433332321111 46 444321111214443331311132 51 333321111224433332321221 52 332331234124423232231232 53 444311113133421131441131 56 323341143124432221331132 57 443311133124432331232121 63 332221132213331232322222 65 343311211124433432312111 66 332211111124324321311121 67 434312324114344344341224 68 343412211124434332221121 69 143421121434344321341212 70 443311111114443111211131 71 421421112222324222222111 72 332311112114432112212111 73 143421121134434131423112 74 433411212124323321332112 75 434311111234243432421321 76 332211111124324321311111 78 443311111224433421321121 80 443422221124422422342211 81 343411212134342321231212 82 332311112113322112212121 84 434421121114433412312111 86 343342233224433332322121 87 433321213224433432332223 88 444312221123333432322121 89 444321111134433433322112 90 444422211234433332211211 92 434321111213433332221121 93 443321112124433331231121 95 443321223424433432431221 96 443322211223433332421112 99 344321121124442332421111 100 344322211214433332321232 102 343321111123322232312121 103 443322121214433442332211 104 443341132224443432322111 105 444412211134433432321111 106 343322212234422222222121 107 443433122224213421212121 108 343341123223432332231222 112 433322211124443333322111 113 433321121114422121222122 114 333313111224333332332232 115 434332133224442332432132 116 333311121114433241431111 117 443321222214443344221211 118 344321121113433331311111 119 443311111124443332221111 120 443331112224443333421121 121 344331132124422221221212 3 23 343421232124423133441343 48 222342344341133344444244 79 444432212324444443434322 83 343441313323433443432343 94 443312312423444424442214 97 444433323334442443443322 98 434432343324433332432122 101 343442222224432323322122 111 443321233234433342332223 122 444442244444444442442444 4 14 313241141221232143243444 15 344341141224413211322144 47 212343444441212134334344 49 444443344434443343443343 50 333241244133422211232342 54 333331244123311111111133 55 333331244223432322231133 58 324431443232432312243343 59 443341134134422221332131 60 333241233133412131212142 61 231343443421312122343143 62 323241133323422322232222 64 333342342113322231331142 77 343241221422313111121142 85 343341231324433111342243 91 344331343314422111231143 109 433211233324432312342132 110 343341143224423121331142 TEST11 OVREXM clusters integer ordinal data. Data set is in file spaeth_09.txt Number of data items is 122 Dimension of data items is 24 M N NR IT D J MJ E J MJ E J MJ E J MJ E 122 4 1 4 1422 1 35 358 2 33 406 3 20 282 4 34 376 122 4 2 5 1404 1 41 364 2 23 358 3 25 295 4 33 387 122 4 3 4 1339 1 37 492 2 56 549 3 11 161 4 18 137 122 4 4 4 1415 1 33 327 2 30 311 3 40 514 4 19 263 122 4 5 4 1424 1 27 261 2 20 290 3 28 351 4 47 522 122 4 6 5 1351 1 47 515 2 8 56 3 20 264 4 47 516 122 4 7 5 1414 1 21 241 2 23 361 3 35 417 4 43 395 122 4 8 9 1323 1 19 249 2 10 120 3 65 684 4 28 270 122 4 9 5 1400 1 23 306 2 43 492 3 17 238 4 39 364 122 4 10 3 1383 1 25 301 2 21 302 3 30 347 4 46 433 122 4 11 3 1388 1 33 372 2 50 498 3 20 290 4 19 228 122 4 12 4 1392 1 27 381 2 26 265 3 44 471 4 25 275 122 4 13 5 1387 1 19 214 2 46 432 3 21 314 4 36 427 122 4 14 3 1477 1 43 420 2 18 216 3 32 394 4 29 447 122 4 15 4 1399 1 49 474 2 17 268 3 36 420 4 20 237 122 4 16 4 1383 1 22 321 2 23 281 3 34 379 4 43 402 122 4 17 6 1286 1 61 639 2 15 109 3 36 404 4 10 134 122 4 18 4 1431 1 51 541 2 19 281 3 24 298 4 28 311 122 4 19 4 1421 1 24 373 2 24 244 3 31 340 4 43 464 122 4 20 3 1413 1 33 283 2 30 351 3 24 372 4 35 407 N = 4 NRMAX = 20 1 1 143111122123343413311111 2 141311121113422112121112 5 332311111114413111111111 6 432311121313421421211114 8 334321111134444433432323 9 142421311324343412341111 11 443422112124443332312211 13 313143112134334432331132 16 342412321114342413121421 18 313143112134334432321212 19 131211311124313122141432 20 344321111114433331332231 22 334211111123422442411111 25 343211111223433332222322 26 344322211123433332322111 27 443323211124433423322114 28 434421121224433332211121 29 343221123124442311223111 31 344321111124433331331111 32 342331111114432321121121 34 342111211124432231311121 37 444321111113432332321131 38 332321111114321121332112 39 333212111214333332332111 40 333212111223333322221111 41 443311112124433232312111 43 433321121124332221422111 44 433321121224432221231111 45 343321123224433332321111 46 444321111214443331311132 51 333321111224433332321221 53 444311113133421131441131 65 343311211124433432312111 66 332211111124324321311121 68 343412211124434332221121 69 143421121434344321341212 70 443311111114443111211131 71 421421112222324222222111 72 332311112114432112212111 73 143421121134434131423112 75 434311111234243432421321 76 332211111124324321311111 78 443311111224433421321121 81 343411212134342321231212 82 332311112113322112212121 84 434421121114433412312111 89 444321111134433433322112 90 444422211234433332211211 92 434321111213433332221121 93 443321112124433331231121 96 443322211223433332421112 99 344321121124442332421111 102 343321111123322232312121 104 443341132224443432322111 105 444412211134433432321111 112 433322211124443333322111 113 433321121114422121222122 116 333311121114433241431111 118 344321121113433331311111 119 443311111124443332221111 120 443331112224443333421121 2 15 344341141224413211322144 50 333241244133422211232342 52 332331234124423232231232 54 333331244123311111111133 55 333331244223432322231133 56 323341143124432221331132 59 443341134134422221332131 60 333241233133412131212142 62 323241133323422322232222 64 333342342113322231331142 77 343241221422313111121142 85 343341231324433111342243 91 344331343314422111231143 110 343341143224423121331142 121 344331132124422221221212 3 3 233412212334343433342211 4 231212121214311322341212 10 443313211134444344433331 12 443421123344424444443442 21 343421112224444432432222 23 343421232124423133441343 24 443212212224433333333334 30 443312212224442322222222 33 444421212223433332332122 35 333321212223433332222221 36 333111221223432221112222 42 433322121223433232322222 57 443311133124432331232121 63 332221132213331232322222 67 434312324114344344341224 74 433411212124323321332112 79 444432212324444443434322 80 443422221124422422342211 86 343342233224433332322121 87 433321213224433432332223 88 444312221123333432322121 94 443312312423444424442214 95 443321223424433432431221 97 444433323334442443443322 98 434432343324433332432122 100 344322211214433332321232 101 343442222224432323322122 103 443322121214433442332211 106 343322212234422222222121 107 443433122224213421212121 108 343341123223432332231222 109 433211233324432312342132 111 443321233234433342332223 114 333313111224333332332232 115 434332133224442332432132 117 443321222214443344221211 4 7 333412112434334343443241 14 313241141221232143243444 17 131443441411111124341143 47 212343444441212134334344 48 222342344341133344444244 49 444443344434443343443343 58 324431443232432312243343 61 231343443421312122343143 83 343441313323433443432343 122 444442244444444442442444 TEST12 OVPEXM clusters integer ordinal data. Data set is in file spaeth_09.txt Number of data items is 122 Dimension of data items is 24 The ordinal range is 1 to 4 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 122 4 1 0 3 1435 1 35 358 2 33 404 3 19 281 4 35 392 122 4 2 0 6 1397 1 43 388 2 25 395 3 21 234 4 33 380 122 4 3 0 4 1444 1 29 323 2 37 423 3 24 381 4 32 317 122 4 4 0 4 1442 1 40 405 2 31 348 3 30 396 4 21 293 122 4 5 0 3 1430 1 28 263 2 21 313 3 27 343 4 46 511 122 4 6 0 5 1406 1 39 449 2 40 369 3 23 364 4 20 224 122 4 7 0 5 1414 1 21 241 2 23 361 3 35 417 4 43 395 122 4 8 0 6 1425 1 19 281 2 39 487 3 24 216 4 40 441 122 4 9 0 3 1441 1 37 464 2 36 398 3 24 381 4 25 198 122 4 10 0 5 1394 1 37 445 2 21 314 3 23 262 4 41 373 122 4 11 0 3 1406 1 36 399 2 41 388 3 24 381 4 21 238 122 4 12 0 4 1468 1 35 558 2 24 235 3 38 388 4 25 287 122 4 13 0 4 1421 1 21 259 2 45 424 3 21 314 4 35 424 122 4 14 0 5 1479 1 45 404 2 22 263 3 22 296 4 33 516 122 4 15 0 6 1394 1 44 406 2 21 314 3 36 434 4 21 240 122 4 16 0 3 1458 1 27 431 2 28 356 3 27 294 4 40 377 122 4 17 0 5 1415 1 47 444 2 30 382 3 30 337 4 15 252 122 4 18 0 7 1414 1 57 619 2 23 343 3 13 162 4 29 290 122 4 19 0 7 1435 1 21 314 2 27 273 3 33 413 4 41 435 122 4 20 0 3 1419 1 33 283 2 30 351 3 24 381 4 35 404 N = 4 NRMAX = 20 1 3 233412212334343433342211 7 333412112434334343443241 10 443313211134444344433331 12 443421123344424444443442 21 343421112224444432432222 23 343421232124423133441343 24 443212212224433333333334 30 443312212224442322222222 33 444421212223433332332122 35 333321212223433332222221 42 433322121223433232322222 49 444443344434443343443343 57 443311133124432331232121 63 332221132213331232322222 67 434312324114344344341224 74 433411212124323321332112 79 444432212324444443434322 80 443422221124422422342211 86 343342233224433332322121 87 433321213224433432332223 88 444312221123333432322121 94 443312312423444424442214 95 443321223424433432431221 97 444433323334442443443322 98 434432343324433332432122 100 344322211214433332321232 101 343442222224432323322122 103 443322121214433442332211 106 343322212234422222222121 107 443433122224213421212121 108 343341123223432332231222 109 433211233324432312342132 111 443321233234433342332223 114 333313111224333332332232 115 434332133224442332432132 117 443321222214443344221211 122 444442244444444442442444 2 14 313241141221232143243444 15 344341141224413211322144 17 131443441411111124341143 47 212343444441212134334344 48 222342344341133344444244 50 333241244133422211232342 52 332331234124423232231232 54 333331244123311111111133 55 333331244223432322231133 56 323341143124432221331132 58 324431443232432312243343 59 443341134134422221332131 60 333241233133412131212142 61 231343443421312122343143 62 323241133323422322232222 64 333342342113322231331142 77 343241221422313111121142 83 343441313323433443432343 85 343341231324433111342243 91 344331343314422111231143 110 343341143224423121331142 3 2 141311121113422112121112 4 231212121214311322341212 5 332311111114413111111111 6 432311121313421421211114 16 342412321114342413121421 19 131211311124313122141432 32 342331111114432321121121 34 342111211124432231311121 36 333111221223432221112222 38 332321111114321121332112 43 433321121124332221422111 44 433321121224432221231111 53 444311113133421131441131 66 332211111124324321311121 70 443311111114443111211131 71 421421112222324222222111 72 332311112114432112212111 76 332211111124324321311111 81 343411212134342321231212 82 332311112113322112212121 113 433321121114422121222122 116 333311121114433241431111 121 344331132124422221221212 4 1 143111122123343413311111 8 334321111134444433432323 9 142421311324343412341111 11 443422112124443332312211 13 313143112134334432331132 18 313143112134334432321212 20 344321111114433331332231 22 334211111123422442411111 25 343211111223433332222322 26 344322211123433332322111 27 443323211124433423322114 28 434421121224433332211121 29 343221123124442311223111 31 344321111124433331331111 37 444321111113432332321131 39 333212111214333332332111 40 333212111223333322221111 41 443311112124433232312111 45 343321123224433332321111 46 444321111214443331311132 51 333321111224433332321221 65 343311211124433432312111 68 343412211124434332221121 69 143421121434344321341212 73 143421121134434131423112 75 434311111234243432421321 78 443311111224433421321121 84 434421121114433412312111 89 444321111134433433322112 90 444422211234433332211211 92 434321111213433332221121 93 443321112124433331231121 96 443322211223433332421112 99 344321121124442332421111 102 343321111123322232312121 104 443341132224443432322111 105 444412211134433432321111 112 433322211124443333322111 118 344321121113433331311111 119 443311111124443332221111 120 443331112224443333421121 TEST13 BVPEXM clusters binary (0,1) data. Data set is in file spaeth_10.txt Number of data items is 49 Dimension of data items is 40 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 49 2 1 0 16 -609 1 48 -54 2 1 -555 49 2 2 0 16 -1500 1 45 -367 2 4 -1133 49 2 3 0 16 -1052 1 2 -861 2 47 -191 49 2 4 0 16 -211 1 48 132 2 1 -343 49 2 5 0 16 -493 1 1 -478 2 48 -15 49 2 6 0 16 -1229 1 48 -407 2 1 -822 49 2 7 0 16 -1380 1 2 -1127 2 47 -253 49 2 8 0 16 -1312 1 2 -1069 2 47 -243 49 2 9 0 16 -1422 1 1 -1159 2 48 -263 49 2 10 0 16 -644 1 48 91 2 1 -735 49 2 11 0 8 -664 1 1 -568 2 48 -96 49 2 12 0 16 -1645 1 48 -601 2 1 -1044 49 2 13 0 16 -2066 1 48 -813 2 1 -1253 49 2 14 0 16 -797 1 48 -165 2 1 -632 49 2 15 0 5 -306 1 48 51 2 1 -357 49 2 16 0 16 -869 1 48 -229 2 1 -640 49 2 17 0 16 -542 1 1 -444 2 48 -98 49 2 18 0 16 -617 1 48 -86 2 1 -531 49 2 19 0 6 -344 1 48 59 2 1 -403 49 2 20 0 9 -500 1 1 -485 2 48 -15 N = 2 NRMAX = 20 1 1 0101100010110010000100110001111001000101 4 0000011110010000001110000000010101010111 5 0101110000011011010110111101110001000101 6 0000000010010000000000000000010000010101 8 1010010010010000001101010000010101000101 9 0101010010010010001100010000110001010111 10 0000000010010010000000000000010000010100 12 0101000010010010000100010000110101001100 13 0101000000011010000000010000110000010100 14 0000000000010010000000000000110000010100 15 0000000010010000000000000000010000010101 19 0000000010010000101100000000010001000101 21 1000010010010000101100000000010011000101 24 0010000010010100000100010000010001000101 25 1000000010000000000001000100000000000000 28 0101000000000000000000000000110000000100 29 0000010010010000001101010010010111110101 31 0000000010010000000000000000010000000101 35 1101000011010011011101011100110011000100 38 0000000010010000000000000000010000010100 42 0000010010010110001100010000010001010101 44 0101010010011010001100010000011001000100 45 0000010000000000000000000000000000010001 47 0000000010010000000000000000010000000100 2 2 0000000000000000000000000000000000000000 3 0000000000000000000000000000000000010000 7 0011000010010010001100000000110000000101 11 0000100000010000000110100001111001000100 16 0000010010011001000100010000010001000101 17 0001000000010000000000000000110000010100 18 0000010010010000001100000000010101010101 20 1000000010010000001101000000010001000101 22 0000010010010000101100010000010101110111 23 0101000110010010011100001000110101000100 26 0100000010010010000000010000110000000100 27 0101000000011010000110010000110101000100 30 0000010010010000001100000000010101010101 32 0000000000010100000100000000010101010101 33 0000010000000000000000000000010000000001 34 0000000010010000000100000000010001010111 36 0000010010010000101110000000010101000101 37 0000010000010000001100000000011001010101 39 0000000000000000000000000000010000010100 40 0000000000010010000000000000110000010100 41 0000010010010000001000000000010000010111 43 0001000000010010000000000000110000010100 46 0000000110010000001100000000010001010101 48 0000010010010000001100000000010001010101 49 0001000000010010000000000000110000010100 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 49 3 1 0 16 -1977 1 44 -315 2 4 -1070 3 1 -592 49 3 2 0 16 -2013 1 47 -645 2 1 -485 3 1 -883 49 3 3 0 16 -1403 1 1 -839 2 1 -282 3 47 -282 49 3 4 0 16 -1746 1 1 -345 2 1 -1128 3 47 -273 49 3 5 0 16 -1105 1 47 -132 2 1 -413 3 1 -560 49 3 6 0 16 -1082 1 1 -508 2 47 -185 3 1 -389 49 3 7 0 16 -1251 1 47 -384 2 1 -577 3 1 -290 49 3 8 0 16 -720 1 1 -467 2 47 25 3 1 -278 49 3 9 0 16 -545 1 1 -159 2 47 -11 3 1 -375 49 3 10 0 16 -1181 1 45 -146 2 3 -576 3 1 -459 49 3 11 0 16 -760 1 1 -275 2 1 -548 3 47 63 49 3 12 0 16 -1083 1 1 -141 2 47 -191 3 1 -751 49 3 13 0 16 -912 1 1 -656 2 1 -208 3 47 -48 49 3 14 0 16 -910 1 1 -191 2 47 -68 3 1 -651 49 3 15 0 16 -925 1 47 -64 2 1 -338 3 1 -523 49 3 16 0 16 -1619 1 46 -262 2 1 -445 3 2 -912 49 3 17 0 16 -1558 1 1 -804 2 1 -487 3 47 -267 49 3 18 0 16 -2016 1 24 -965 2 24 -311 3 1 -740 49 3 19 0 16 -1408 1 47 -444 2 1 -383 3 1 -581 49 3 20 0 16 -1645 1 47 -555 2 1 -569 3 1 -521 N = 3 NRMAX = 20 1 1 0101100010110010000100110001111001000101 5 0101110000011011010110111101110001000101 11 0000100000010000000110100001111001000100 13 0101000000011010000000010000110000010100 14 0000000000010010000000000000110000010100 17 0001000000010000000000000000110000010100 18 0000010010010000001100000000010101010101 25 1000000010000000000001000100000000000000 28 0101000000000000000000000000110000000100 32 0000000000010100000100000000010101010101 35 1101000011010011011101011100110011000100 38 0000000010010000000000000000010000010100 40 0000000000010010000000000000110000010100 42 0000010010010110001100010000010001010101 49 0001000000010010000000000000110000010100 2 2 0000000000000000000000000000000000000000 8 1010010010010000001101010000010101000101 15 0000000010010000000000000000010000010101 16 0000010010011001000100010000010001000101 19 0000000010010000101100000000010001000101 22 0000010010010000101100010000010101110111 23 0101000110010010011100001000110101000100 29 0000010010010000001101010010010111110101 33 0000010000000000000000000000010000000001 34 0000000010010000000100000000010001010111 39 0000000000000000000000000000010000010100 44 0101010010011010001100010000011001000100 48 0000010010010000001100000000010001010101 3 3 0000000000000000000000000000000000010000 4 0000011110010000001110000000010101010111 6 0000000010010000000000000000010000010101 7 0011000010010010001100000000110000000101 9 0101010010010010001100010000110001010111 10 0000000010010010000000000000010000010100 12 0101000010010010000100010000110101001100 20 1000000010010000001101000000010001000101 21 1000010010010000101100000000010011000101 24 0010000010010100000100010000010001000101 26 0100000010010010000000010000110000000100 27 0101000000011010000110010000110101000100 30 0000010010010000001100000000010101010101 31 0000000010010000000000000000010000000101 36 0000010010010000101110000000010101000101 37 0000010000010000001100000000011001010101 41 0000010010010000001000000000010000010111 43 0001000000010010000000000000110000010100 45 0000010000000000000000000000000000010001 46 0000000110010000001100000000010001010101 47 0000000010010000000000000000010000000100 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 49 4 1 0 16 -1238 1 1 -385 2 1 -246 3 1 -410 4 46 -197 49 4 2 0 16 -932 1 1 -664 2 1 -175 3 46 -61 4 1 -32 49 4 3 0 16 -992 1 1 -211 2 1 -482 3 46 103 4 1 -402 49 4 4 0 16 -835 1 1 -361 2 1 -223 3 46 -130 4 1 -121 49 4 5 0 16 -1103 1 1 -170 2 1 -502 3 2 -495 4 45 64 49 4 6 0 16 -1170 1 1 -386 2 1 -357 3 1 -232 4 46 -195 49 4 7 0 16 -936 1 1 -347 2 1 -305 3 1 -194 4 46 -90 49 4 8 0 16 -582 1 1 -132 2 1 -231 3 46 107 4 1 -326 49 4 9 0 16 -1046 1 1 -330 2 46 88 3 1 -650 4 1 -154 49 4 10 0 16 -504 1 1 -126 2 1 -355 3 1 -46 4 46 23 49 4 11 0 16 -1539 1 1 -442 2 1 -513 3 46 -322 4 1 -262 49 4 12 0 16 -1744 1 1 -206 2 46 -247 3 1 -378 4 1 -913 49 4 13 0 16 -1352 1 2 -635 2 45 -142 3 1 -230 4 1 -345 49 4 14 0 16 -628 1 1 -120 2 46 7 3 1 -378 4 1 -137 49 4 15 0 16 -2172 1 1 -422 2 46 -159 3 1 -580 4 1 -1011 49 4 16 0 16 -1106 1 1 -515 2 1 -267 3 2 -341 4 45 17 49 4 17 0 16 -1429 1 27 -446 2 1 -364 3 1 -171 4 20 -448 49 4 18 0 8 -870 1 1 -518 2 46 59 3 1 -132 4 1 -279 49 4 19 0 5 -172 1 1 -86 2 46 157 3 1 -129 4 1 -114 49 4 20 0 4 -374 1 1 -170 2 46 110 3 1 -95 4 1 -219 N = 4 NRMAX = 20 1 1 0101100010110010000100110001111001000101 6 0000000010010000000000000000010000010101 10 0000000010010010000000000000010000010100 11 0000100000010000000110100001111001000100 18 0000010010010000001100000000010101010101 30 0000010010010000001100000000010101010101 34 0000000010010000000100000000010001010111 36 0000010010010000101110000000010101000101 47 0000000010010000000000000000010000000100 2 2 0000000000000000000000000000000000000000 17 0001000000010000000000000000110000010100 20 1000000010010000001101000000010001000101 22 0000010010010000101100010000010101110111 23 0101000110010010011100001000110101000100 24 0010000010010100000100010000010001000101 26 0100000010010010000000010000110000000100 28 0101000000000000000000000000110000000100 32 0000000000010100000100000000010101010101 38 0000000010010000000000000000010000010100 3 3 0000000000000000000000000000000000010000 7 0011000010010010001100000000110000000101 9 0101010010010010001100010000110001010111 12 0101000010010010000100010000110101001100 15 0000000010010000000000000000010000010101 19 0000000010010000101100000000010001000101 21 1000010010010000101100000000010011000101 29 0000010010010000001101010010010111110101 31 0000000010010000000000000000010000000101 33 0000010000000000000000000000010000000001 35 1101000011010011011101011100110011000100 39 0000000000000000000000000000010000010100 43 0001000000010010000000000000110000010100 46 0000000110010000001100000000010001010101 49 0001000000010010000000000000110000010100 4 4 0000011110010000001110000000010101010111 5 0101110000011011010110111101110001000101 8 1010010010010000001101010000010101000101 13 0101000000011010000000010000110000010100 14 0000000000010010000000000000110000010100 16 0000010010011001000100010000010001000101 25 1000000010000000000001000100000000000000 27 0101000000011010000110010000110101000100 37 0000010000010000001100000000011001010101 40 0000000000010010000000000000110000010100 41 0000010010010000001000000000010000010111 42 0000010010010110001100010000010001010101 44 0101010010011010001100010000011001000100 45 0000010000000000000000000000000000010001 48 0000010010010000001100000000010001010101 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 49 5 1 0 16 -855 1 45 1 2 1 -47 3 1 -409 4 1 -382 5 1 -18 49 5 2 0 16 -1718 1 1 -216 2 1 -383 3 23 -175 4 22 -272 5 2 -672 49 5 3 0 16 -1179 1 2 -509 2 1 -33 3 1 -286 4 44 57 5 1 -408 49 5 4 0 16 -1758 1 26 -271 2 2 -413 3 19 -504 4 1 -278 5 1 -292 49 5 5 0 16 -1354 1 45 -298 2 1 -365 3 1 -26 4 1 -177 5 1 -488 49 5 6 0 16 -791 1 1 -294 2 45 83 3 1 -17 4 1 -247 5 1 -316 49 5 7 0 16 -1749 1 1 -381 2 1 -448 3 45 -47 4 1 -476 5 1 -397 49 5 8 0 16 -1941 1 44 -311 2 1 -240 3 1 -38 4 1 -695 5 2 -657 49 5 9 0 16 -548 1 1 -152 2 45 100 3 1 -224 4 1 -186 5 1 -86 49 5 10 0 16 -1116 1 2 -510 2 1 -208 3 1 -279 4 1 -316 5 44 197 49 5 11 0 16 -1318 1 41 -109 2 1 -72 3 3 -244 4 1 -412 5 3 -481 49 5 12 0 16 -1053 1 1 -197 2 1 -217 3 1 -193 4 45 -47 5 1 -399 49 5 13 0 16 -863 1 1 -49 2 1 -195 3 1 -263 4 44 120 5 2 -476 49 5 14 0 16 -974 1 1 -113 2 45 -66 3 1 -132 4 1 -469 5 1 -194 49 5 15 0 8 -626 1 1 -169 2 1 -132 3 1 -205 4 45 120 5 1 -240 49 5 16 0 16 -1021 1 1 -360 2 45 102 3 1 -468 4 1 -14 5 1 -281 49 5 17 0 16 -1520 1 45 -88 2 1 -702 3 1 -225 4 1 -278 5 1 -227 49 5 18 0 16 -882 1 1 -545 2 1 -185 3 45 62 4 1 -155 5 1 -59 49 5 19 0 8 -602 1 1 -350 2 1 -89 3 1 -156 4 45 116 5 1 -123 49 5 20 0 16 -914 1 45 20 2 1 -242 3 1 -314 4 1 -258 5 1 -120 N = 5 NRMAX = 20 1 1 0101100010110010000100110001111001000101 8 1010010010010000001101010000010101000101 10 0000000010010010000000000000010000010100 13 0101000000011010000000010000110000010100 21 1000010010010000101100000000010011000101 22 0000010010010000101100010000010101110111 31 0000000010010000000000000000010000000101 35 1101000011010011011101011100110011000100 37 0000010000010000001100000000011001010101 45 0000010000000000000000000000000000010001 2 2 0000000000000000000000000000000000000000 11 0000100000010000000110100001111001000100 17 0001000000010000000000000000110000010100 20 1000000010010000001101000000010001000101 29 0000010010010000001101010010010111110101 34 0000000010010000000100000000010001010111 36 0000010010010000101110000000010101000101 40 0000000000010010000000000000110000010100 42 0000010010010110001100010000010001010101 43 0001000000010010000000000000110000010100 48 0000010010010000001100000000010001010101 49 0001000000010010000000000000110000010100 3 3 0000000000000000000000000000000000010000 6 0000000010010000000000000000010000010101 9 0101010010010010001100010000110001010111 12 0101000010010010000100010000110101001100 18 0000010010010000001100000000010101010101 32 0000000000010100000100000000010101010101 41 0000010010010000001000000000010000010111 4 4 0000011110010000001110000000010101010111 7 0011000010010010001100000000110000000101 16 0000010010011001000100010000010001000101 23 0101000110010010011100001000110101000100 46 0000000110010000001100000000010001010101 5 5 0101110000011011010110111101110001000101 14 0000000000010010000000000000110000010100 15 0000000010010000000000000000010000010101 19 0000000010010000101100000000010001000101 24 0010000010010100000100010000010001000101 25 1000000010000000000001000100000000000000 26 0100000010010010000000010000110000000100 27 0101000000011010000110010000110101000100 28 0101000000000000000000000000110000000100 30 0000010010010000001100000000010101010101 33 0000010000000000000000000000010000000001 38 0000000010010000000000000000010000010100 39 0000000000000000000000000000010000010100 44 0101010010011010001100010000011001000100 47 0000000010010000000000000000010000000100 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 49 6 1 0 16 -1369 1 1 -133 2 1 -256 3 1 -165 4 1 -388 5 44 -192 6 1 -235 49 6 2 0 16 -1638 1 41 -241 2 1 -281 3 1 -266 4 1 -409 5 1 -200 6 4 -241 49 6 3 0 16 -530 1 16 -28 2 1 -35 3 1 -268 4 29 -85 5 1 -78 6 1 -36 49 6 4 0 5 -551 1 44 156 2 1 -206 3 1 -190 4 1 -147 5 1 -74 6 1 -90 49 6 5 0 16 -1733 1 17 -321 2 1 -233 3 1 -358 4 1 -494 5 1 -199 6 28 -128 49 6 6 0 16 -1953 1 42 -216 2 1 -387 3 1 -290 4 1 -547 5 3 -448 6 1 -65 49 6 7 0 16 -1233 1 30 -313 2 1 -119 3 15 -163 4 1 -103 5 1 -195 6 1 -340 49 6 8 0 16 -1450 1 1 -418 2 1 -286 3 1 -375 4 1 -105 5 44 -210 6 1 -56 49 6 9 0 11 -1069 1 1 -101 2 1 -302 3 1 -127 4 44 83 5 1 -341 6 1 -281 49 6 10 0 16 -1110 1 1 -252 2 1 -280 3 1 -244 4 1 -169 5 44 -85 6 1 -80 49 6 11 0 16 -1223 1 1 -309 2 1 -311 3 44 106 4 1 -345 5 1 -172 6 1 -192 49 6 12 0 16 -1643 1 44 -146 2 1 -86 3 1 -396 4 1 -684 5 1 -65 6 1 -266 49 6 13 0 16 -1003 1 1 -45 2 1 -287 3 35 -188 4 10 -188 5 1 -256 6 1 -39 49 6 14 0 16 -739 1 1 -59 2 44 43 3 1 -128 4 1 -211 5 1 -245 6 1 -139 49 6 15 0 16 -1950 1 44 -235 2 1 -156 3 1 -150 4 1 -273 5 1 -749 6 1 -387 49 6 16 0 16 -1290 1 1 -491 2 44 7 3 1 -201 4 1 -395 5 1 -31 6 1 -179 49 6 17 0 16 -637 1 1 -133 2 1 -200 3 7 -217 4 38 63 5 1 -129 6 1 -21 49 6 18 0 16 -1619 1 1 -178 2 1 -348 3 1 -198 4 44 -72 5 1 -428 6 1 -395 49 6 19 0 16 -1596 1 43 -169 2 1 -263 3 1 -335 4 1 -254 5 2 -438 6 1 -137 49 6 20 0 16 -1406 1 44 -135 2 1 -160 3 1 -377 4 1 -106 5 1 -527 6 1 -101 N = 6 NRMAX = 20 1 1 0101100010110010000100110001111001000101 28 0101000000000000000000000000110000000100 29 0000010010010000001101010010010111110101 37 0000010000010000001100000000011001010101 39 0000000000000000000000000000010000010100 41 0000010010010000001000000000010000010111 46 0000000110010000001100000000010001010101 2 2 0000000000000000000000000000000000000000 26 0100000010010010000000010000110000000100 27 0101000000011010000110010000110101000100 38 0000000010010000000000000000010000010100 3 3 0000000000000000000000000000000000010000 10 0000000010010010000000000000010000010100 16 0000010010011001000100010000010001000101 33 0000010000000000000000000000010000000001 36 0000010010010000101110000000010101000101 40 0000000000010010000000000000110000010100 4 4 0000011110010000001110000000010101010111 8 1010010010010000001101010000010101000101 11 0000100000010000000110100001111001000100 17 0001000000010000000000000000110000010100 19 0000000010010000101100000000010001000101 22 0000010010010000101100010000010101110111 23 0101000110010010011100001000110101000100 32 0000000000010100000100000000010101010101 43 0001000000010010000000000000110000010100 45 0000010000000000000000000000000000010001 5 5 0101110000011011010110111101110001000101 7 0011000010010010001100000000110000000101 13 0101000000011010000000010000110000010100 14 0000000000010010000000000000110000010100 18 0000010010010000001100000000010101010101 31 0000000010010000000000000000010000000101 48 0000010010010000001100000000010001010101 49 0001000000010010000000000000110000010100 6 6 0000000010010000000000000000010000010101 9 0101010010010010001100010000110001010111 12 0101000010010010000100010000110101001100 15 0000000010010000000000000000010000010101 20 1000000010010000001101000000010001000101 21 1000010010010000101100000000010011000101 24 0010000010010100000100010000010001000101 25 1000000010000000000001000100000000000000 30 0000010010010000001100000000010101010101 34 0000000010010000000100000000010001010111 35 1101000011010011011101011100110011000100 42 0000010010010110001100010000010001010101 44 0101010010011010001100010000011001000100 47 0000000010010000000000000000010000000100 TEST14 TIHEXM clusters data using criteria that do not rely on the computation of centers. Three different methods are available. In this run, we use method 1 We assume access to a pair-wise distance matrix. Data set is in file spaeth_11.txt Number of data items is 11 DATA_D_READ: Number of lines read was 34 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 2 1 0 1 970.0 1 6 446.0 2 5 524.0 11 2 2 0 2 1134.0 1 5 458.0 2 6 676.0 11 2 3 0 2 1142.0 1 6 522.0 2 5 620.0 11 2 4 0 1 1330.0 1 6 521.0 2 5 809.0 11 2 5 0 1 1359.0 1 5 1055.0 2 6 304.0 11 2 6 0 2 1076.0 1 6 666.0 2 5 410.0 11 2 7 0 3 1181.0 1 5 386.0 2 6 795.0 11 2 8 0 1 1298.0 1 6 682.0 2 5 616.0 11 2 9 0 3 1079.0 1 6 362.0 2 5 717.0 11 2 10 0 2 1211.0 1 5 852.0 2 6 359.0 11 2 11 0 2 1232.0 1 5 878.0 2 6 354.0 11 2 12 0 2 1205.0 1 6 891.0 2 5 314.0 11 2 13 0 2 1015.0 1 6 495.0 2 5 520.0 11 2 14 0 2 1185.0 1 6 891.0 2 5 294.0 11 2 15 0 1 1150.0 1 5 676.0 2 6 474.0 11 2 16 0 1 1092.0 1 5 700.0 2 6 392.0 11 2 17 0 2 1248.0 1 5 279.0 2 6 969.0 11 2 18 0 2 1166.0 1 6 759.0 2 5 407.0 11 2 19 0 2 1116.0 1 6 636.0 2 5 480.0 11 2 20 0 2 1133.0 1 6 618.0 2 5 515.0 Clustering for N = 2 1 1 2 2 1 2 2 1 1 2 1 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 3 1 0 2 623.0 1 4 192.0 2 3 203.0 3 4 228.0 11 3 2 0 2 688.0 1 3 39.0 2 4 491.0 3 4 158.0 11 3 3 0 1 597.0 1 5 169.0 2 3 104.0 3 3 324.0 11 3 4 0 2 693.0 1 3 240.0 2 5 306.0 3 3 147.0 11 3 5 0 1 620.0 1 5 427.0 2 3 145.0 3 3 48.0 11 3 6 0 1 502.0 1 4 151.0 2 3 101.0 3 4 250.0 11 3 7 0 1 615.0 1 3 165.0 2 4 194.0 3 4 256.0 11 3 8 0 2 873.0 1 3 117.0 2 4 186.0 3 4 570.0 11 3 9 0 3 796.0 1 3 468.0 2 5 133.0 3 3 195.0 11 3 10 0 2 621.0 1 4 204.0 2 4 167.0 3 3 250.0 11 3 11 0 2 641.0 1 3 362.0 2 4 85.0 3 4 194.0 11 3 12 0 3 608.0 1 4 210.0 2 3 204.0 3 4 194.0 11 3 13 0 2 719.0 1 4 436.0 2 3 61.0 3 4 222.0 11 3 14 0 3 675.0 1 3 209.0 2 4 299.0 3 4 167.0 11 3 15 0 2 554.0 1 5 213.0 2 3 142.0 3 3 199.0 11 3 16 0 2 667.0 1 3 224.0 2 4 342.0 3 4 101.0 11 3 17 0 2 675.0 1 3 341.0 2 4 160.0 3 4 174.0 11 3 18 0 3 664.0 1 3 196.0 2 4 165.0 3 4 303.0 11 3 19 0 2 707.0 1 3 204.0 2 4 62.0 3 4 441.0 11 3 20 0 3 778.0 1 3 365.0 2 5 137.0 3 3 276.0 Clustering for N = 3 2 1 3 1 2 3 3 1 1 3 2 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 4 1 0 3 442.0 1 3 78.0 2 2 30.0 3 4 234.0 4 2 100.0 11 4 2 0 4 616.0 1 2 7.0 2 2 483.0 3 3 73.0 4 4 53.0 11 4 3 0 3 515.0 1 3 73.0 2 3 29.0 3 3 257.0 4 2 156.0 11 4 4 0 2 386.0 1 2 130.0 2 3 76.0 3 3 142.0 4 3 38.0 11 4 5 0 2 483.0 1 3 280.0 2 2 22.0 3 3 143.0 4 3 38.0 11 4 6 0 3 410.0 1 3 232.0 2 4 41.0 3 2 59.0 4 2 78.0 11 4 7 0 2 405.0 1 2 65.0 2 3 85.0 3 3 129.0 4 3 126.0 11 4 8 0 2 424.0 1 2 143.0 2 4 109.0 3 3 25.0 4 2 147.0 11 4 9 0 3 528.0 1 3 62.0 2 4 28.0 3 2 342.0 4 2 96.0 11 4 10 0 3 475.0 1 2 218.0 2 4 32.0 3 2 64.0 4 3 161.0 11 4 11 0 3 352.0 1 2 87.0 2 4 28.0 3 2 140.0 4 3 97.0 11 4 12 0 2 427.0 1 4 38.0 2 2 18.0 3 2 111.0 4 3 260.0 11 4 13 0 1 475.0 1 3 160.0 2 2 164.0 3 3 80.0 4 3 71.0 11 4 14 0 2 443.0 1 4 201.0 2 3 158.0 3 2 48.0 4 2 36.0 11 4 15 0 3 599.0 1 2 7.0 2 2 351.0 3 3 25.0 4 4 216.0 11 4 16 0 3 449.0 1 2 19.0 2 2 300.0 3 3 77.0 4 4 53.0 11 4 17 0 2 434.0 1 3 136.0 2 4 32.0 3 2 89.0 4 2 177.0 11 4 18 0 4 464.0 1 3 122.0 2 2 181.0 3 2 133.0 4 4 28.0 11 4 19 0 1 400.0 1 2 224.0 2 4 34.0 3 3 42.0 4 2 100.0 11 4 20 0 1 455.0 1 4 212.0 2 2 137.0 3 2 68.0 4 3 38.0 Clustering for N = 4 2 2 4 3 1 4 3 2 2 4 1 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 5 1 0 3 245.0 1 3 12.0 2 2 39.0 3 2 24.0 4 2 32.0 5 2 138.0 11 5 2 0 3 244.0 1 3 10.0 2 2 84.0 3 2 95.0 4 2 41.0 5 2 14.0 11 5 3 0 6 216.0 1 2 7.0 2 3 14.0 3 2 51.0 4 2 35.0 5 2 109.0 11 5 4 0 3 203.0 1 2 17.0 2 3 14.0 3 2 24.0 4 2 78.0 5 2 70.0 11 5 5 0 3 344.0 1 2 1.0 2 2 20.0 3 2 115.0 4 2 198.0 5 3 10.0 11 5 6 0 3 264.0 1 2 204.0 2 3 14.0 3 2 18.0 4 2 14.0 5 2 14.0 11 5 7 0 6 372.0 1 2 223.0 2 3 14.0 3 2 127.0 4 2 1.0 5 2 7.0 11 5 8 0 2 246.0 1 3 12.0 2 2 64.0 3 2 1.0 4 2 32.0 5 2 137.0 11 5 9 0 3 329.0 1 2 40.0 2 2 39.0 3 2 110.0 4 2 14.0 5 3 126.0 11 5 10 0 2 298.0 1 3 107.0 2 2 38.0 3 2 1.0 4 2 117.0 5 2 35.0 11 5 11 0 2 301.0 1 2 17.0 2 3 10.0 3 2 1.0 4 2 166.0 5 2 107.0 11 5 12 0 3 186.0 1 3 106.0 2 2 38.0 3 2 1.0 4 2 27.0 5 2 14.0 11 5 13 0 3 188.0 1 2 52.0 2 3 16.0 3 2 43.0 4 2 14.0 5 2 63.0 11 5 14 0 6 290.0 1 2 9.0 2 3 14.0 3 2 118.0 4 2 1.0 5 2 148.0 11 5 15 0 6 258.0 1 2 83.0 2 2 15.0 3 2 118.0 4 3 35.0 5 2 7.0 11 5 16 0 3 311.0 1 2 82.0 2 3 10.0 3 2 115.0 4 2 49.0 5 2 55.0 11 5 17 0 4 336.0 1 2 7.0 2 3 226.0 3 2 1.0 4 2 32.0 5 2 70.0 11 5 18 0 6 453.0 1 3 10.0 2 2 288.0 3 2 1.0 4 2 7.0 5 2 147.0 11 5 19 0 4 268.0 1 2 17.0 2 2 14.0 3 2 95.0 4 3 73.0 5 2 69.0 11 5 20 0 3 262.0 1 3 15.0 2 2 20.0 3 2 59.0 4 2 19.0 5 2 149.0 Clustering for N = 5 1 4 3 2 5 3 2 1 1 4 5 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 6 1 0 2 144.0 1 2 2.0 2 2 8.0 3 2 1.0 4 2 35.0 5 2 14.0 6 1 84.0 11 6 2 0 4 203.0 1 3 10.0 2 1 22.0 3 1 78.0 4 2 85.0 5 2 7.0 6 2 1.0 11 6 3 0 1 251.0 1 3 10.0 2 2 9.0 3 1 170.0 4 2 1.0 5 2 14.0 6 1 47.0 11 6 4 0 4 252.0 1 3 10.0 2 1 22.0 3 2 1.0 4 2 51.0 5 2 7.0 6 1 161.0 11 6 5 0 3 144.0 1 1 39.0 2 3 16.0 3 2 9.0 4 1 16.0 5 2 63.0 6 2 1.0 11 6 6 0 1 129.0 1 2 2.0 2 2 10.0 3 2 39.0 4 1 63.0 5 2 14.0 6 2 1.0 11 6 7 0 3 195.0 1 2 80.0 2 1 47.0 3 2 1.0 4 2 49.0 5 2 2.0 6 2 16.0 11 6 8 0 5 112.0 1 3 20.0 2 2 41.0 3 2 18.0 4 1 0.0 5 2 7.0 6 1 26.0 11 6 9 0 2 163.0 1 2 17.0 2 1 22.0 3 2 1.0 4 2 28.0 5 1 45.0 6 3 50.0 11 6 10 0 4 221.0 1 3 10.0 2 2 23.0 3 1 41.0 4 1 18.0 5 2 7.0 6 2 122.0 11 6 11 0 4 184.0 1 2 45.0 2 3 10.0 3 1 74.0 4 2 1.0 5 2 7.0 6 1 47.0 11 6 12 0 3 186.0 1 3 12.0 2 1 22.0 3 2 9.0 4 2 49.0 5 1 93.0 6 2 1.0 11 6 13 0 5 280.0 1 2 7.0 2 1 0.0 3 2 1.0 4 1 19.0 5 3 126.0 6 2 127.0 11 6 14 0 4 227.0 1 1 36.0 2 2 143.0 3 1 0.0 4 3 10.0 5 2 37.0 6 2 1.0 11 6 15 0 2 243.0 1 1 109.0 2 2 39.0 3 2 1.0 4 2 29.0 5 2 2.0 6 2 63.0 11 6 16 0 1 199.0 1 3 10.0 2 2 9.0 3 2 1.0 4 1 64.0 5 2 14.0 6 1 101.0 11 6 17 0 2 167.0 1 1 36.0 2 2 15.0 3 2 59.0 4 1 18.0 5 3 38.0 6 2 1.0 11 6 18 0 1 188.0 1 1 67.0 2 1 14.0 3 2 59.0 4 2 9.0 5 3 38.0 6 2 1.0 11 6 19 0 2 194.0 1 3 15.0 2 1 32.0 3 2 104.0 4 2 16.0 5 1 0.0 6 2 27.0 11 6 20 0 6 261.0 1 1 0.0 2 2 143.0 3 2 1.0 4 2 7.0 5 1 53.0 6 3 57.0 Clustering for N = 6 1 2 3 2 5 3 6 1 1 4 5 TEST14 TIHEXM clusters data using criteria that do not rely on the computation of centers. Three different methods are available. In this run, we use method 2 We assume access to a pair-wise distance matrix. Data set is in file spaeth_11.txt Number of data items is 11 DATA_D_READ: Number of lines read was 34 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 2 1 0 2 179.1 1 6 74.3 2 5 104.8 11 2 2 0 2 204.3 1 5 91.6 2 6 112.7 11 2 3 0 2 211.0 1 6 87.0 2 5 124.0 11 2 4 0 3 208.0 1 5 80.8 2 6 127.2 11 2 5 0 1 231.8 1 8 194.5 2 3 37.3 11 2 6 0 2 193.0 1 6 111.0 2 5 82.0 11 2 7 0 2 209.7 1 5 77.2 2 6 132.5 11 2 8 0 2 196.1 1 6 102.3 2 5 93.8 11 2 9 0 1 195.3 1 5 55.8 2 6 139.5 11 2 10 0 2 217.2 1 7 162.4 2 4 54.8 11 2 11 0 1 250.0 1 7 197.0 2 4 53.0 11 2 12 0 1 209.4 1 7 154.1 2 4 55.2 11 2 13 0 2 186.5 1 6 82.5 2 5 104.0 11 2 14 0 3 210.0 1 7 163.3 2 4 46.8 11 2 15 0 1 210.9 1 6 132.7 2 5 78.2 11 2 16 0 1 198.5 1 6 136.7 2 5 61.8 11 2 17 0 2 216.4 1 3 41.7 2 8 174.8 11 2 18 0 2 207.9 1 6 126.5 2 5 81.4 11 2 19 0 2 202.0 1 6 106.0 2 5 96.0 11 2 20 0 2 206.0 1 6 103.0 2 5 103.0 Clustering for N = 2 1 1 2 2 1 2 2 1 1 2 1 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 3 1 0 3 164.7 1 3 43.7 2 4 62.5 3 4 58.5 11 3 2 0 16 153.5 1 2 8.5 2 5 104.0 3 4 41.0 11 3 3 0 2 135.8 1 2 21.5 2 4 21.2 3 5 93.0 11 3 4 0 2 182.2 1 4 82.0 2 5 61.2 3 2 39.0 11 3 5 0 1 143.5 1 6 85.0 2 3 39.0 3 2 19.5 11 3 6 0 1 127.2 1 4 39.8 2 3 33.7 3 4 53.8 11 3 7 0 2 160.7 1 3 55.0 2 4 50.5 3 4 55.2 11 3 8 0 2 179.5 1 2 23.5 2 3 34.3 3 6 121.7 11 3 9 0 2 171.4 1 5 100.8 2 1 0.0 3 5 70.6 11 3 10 0 2 163.8 1 3 47.7 2 3 35.3 3 5 80.8 11 3 11 0 2 163.3 1 5 80.0 2 3 34.7 3 3 48.7 11 3 12 0 3 169.0 1 4 52.5 2 3 68.0 3 4 48.5 11 3 13 0 1 172.4 1 5 97.4 2 2 19.5 3 4 55.5 11 3 14 0 2 173.2 1 3 47.7 2 5 83.2 3 3 42.3 11 3 15 0 2 141.6 1 5 42.6 2 3 43.3 3 3 55.7 11 3 16 0 3 161.9 1 4 71.2 2 5 75.2 3 2 15.5 11 3 17 0 3 169.7 1 5 89.0 2 3 34.0 3 3 46.7 11 3 18 0 2 170.9 1 3 43.3 2 3 39.0 3 5 88.6 11 3 19 0 3 178.0 1 4 49.8 2 2 27.0 3 5 101.2 11 3 20 0 1 164.0 1 6 87.0 2 1 0.0 3 4 73.0 Clustering for N = 3 2 1 3 3 2 3 3 1 1 1 2 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 4 1 0 3 152.8 1 2 29.0 2 1 0.0 3 4 72.5 4 4 37.2 11 4 2 0 2 168.0 1 1 0.0 2 6 141.5 3 2 12.0 4 2 14.5 11 4 3 0 3 161.2 1 2 32.0 2 2 0.5 3 4 73.8 4 3 55.0 11 4 4 0 3 122.6 1 3 43.3 2 3 17.0 3 4 49.2 4 1 0.0 11 4 5 0 2 129.7 1 5 75.0 2 1 0.0 3 3 47.7 4 2 7.0 11 4 6 0 3 132.8 1 4 74.2 2 1 0.0 3 4 20.0 4 2 25.5 11 4 7 0 2 136.7 1 2 26.0 2 3 20.0 3 3 48.7 4 3 42.0 11 4 8 0 2 144.3 1 3 55.0 2 3 31.3 3 1 0.0 4 4 58.0 11 4 9 0 2 146.5 1 2 9.5 2 1 0.0 3 5 97.0 4 3 40.0 11 4 10 0 2 153.8 1 4 73.5 2 1 0.0 3 2 26.0 4 4 50.2 11 4 11 0 4 124.9 1 3 36.3 2 1 0.0 3 4 56.2 4 3 32.3 11 4 12 0 2 137.2 1 2 6.0 2 2 3.5 3 3 43.0 4 4 84.8 11 4 13 0 3 160.8 1 4 50.0 2 3 53.3 3 2 33.0 4 2 24.5 11 4 14 0 3 151.9 1 5 61.2 2 3 51.7 3 2 21.0 4 1 18.0 11 4 15 0 3 154.0 1 1 0.0 2 5 100.0 3 1 0.0 4 4 54.0 11 4 16 0 2 142.1 1 2 9.5 2 5 92.6 3 2 26.5 4 2 13.5 11 4 17 0 3 134.8 1 4 50.2 2 1 0.0 3 2 31.0 4 4 49.5 11 4 18 0 2 150.1 1 3 36.7 2 3 67.7 3 4 45.8 4 1 0.0 11 4 19 0 1 127.3 1 5 71.6 2 1 0.0 3 2 9.0 4 3 40.7 11 4 20 0 1 153.2 1 4 59.8 2 3 54.0 3 2 32.5 4 2 7.0 Clustering for N = 4 1 2 3 3 1 3 4 2 2 3 1 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 5 1 0 2 89.0 1 1 0.0 2 2 19.5 3 2 12.0 4 2 18.0 5 4 37.5 11 5 2 0 2 96.2 1 1 0.0 2 3 36.0 3 3 39.7 4 2 13.5 5 2 7.0 11 5 3 0 1 89.3 1 1 0.0 2 1 0.0 3 3 33.3 4 3 10.7 5 3 41.3 11 5 4 0 2 82.5 1 2 8.5 2 1 0.0 3 2 19.5 4 4 23.0 5 2 27.5 11 5 5 0 2 108.0 1 1 0.0 2 1 0.0 3 4 47.2 4 4 54.8 5 1 0.0 11 5 6 0 2 99.2 1 5 71.2 2 1 0.0 3 2 17.0 4 1 0.0 5 2 7.0 11 5 7 0 2 112.0 1 4 72.8 2 1 0.0 3 4 35.2 4 1 0.0 5 1 0.0 11 5 8 0 2 100.4 1 1 2.0 2 3 28.7 3 2 0.5 4 1 16.0 5 4 53.2 11 5 9 0 2 127.7 1 2 26.5 2 2 19.5 3 3 39.7 4 1 0.0 5 3 42.0 11 5 10 0 2 123.7 1 3 35.7 2 1 22.0 3 2 0.5 4 3 48.0 5 2 17.5 11 5 11 0 3 108.6 1 2 8.5 2 1 0.0 3 1 0.0 4 4 65.8 5 3 34.3 11 5 12 0 1 64.0 1 4 31.0 2 2 19.0 3 1 0.0 4 2 7.0 5 2 7.0 11 5 13 0 1 89.3 1 3 27.7 2 1 0.0 3 3 28.0 4 1 0.0 5 3 27.7 11 5 14 0 2 94.5 1 1 0.0 2 1 0.0 3 4 48.5 4 1 0.0 5 4 40.0 11 5 15 0 1 108.3 1 3 31.3 2 1 14.0 3 4 48.5 4 2 14.5 5 1 0.0 11 5 16 0 1 136.8 1 4 24.0 2 0 0.0 3 3 48.3 4 2 24.5 5 2 40.0 11 5 17 0 2 110.0 1 1 0.0 2 4 61.0 3 2 0.5 4 2 18.0 5 2 30.5 11 5 18 0 4 141.9 1 1 0.0 2 5 95.2 3 0 0.0 4 1 0.0 5 4 46.8 11 5 19 0 2 115.8 1 2 8.5 2 1 0.0 3 3 39.7 4 3 26.7 5 2 41.0 11 5 20 0 3 105.2 1 1 0.0 2 2 4.5 3 3 27.0 4 2 16.0 5 3 52.7 Clustering for N = 5 1 1 4 2 5 4 2 1 1 3 5 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 6 1 0 2 63.7 1 1 0.0 2 1 0.0 3 1 0.0 4 3 10.7 5 2 7.0 6 3 42.0 11 6 2 0 1 93.8 1 1 0.0 2 1 22.0 3 3 39.7 4 3 28.7 5 2 3.5 6 1 0.0 11 6 3 0 2 88.0 1 1 0.0 2 1 0.0 3 4 49.5 4 1 0.0 5 2 7.0 6 2 31.5 11 6 4 0 1 90.7 1 1 0.0 2 2 19.0 3 1 0.0 4 2 24.5 5 1 0.0 6 4 47.2 11 6 5 0 1 75.3 1 2 26.5 2 2 4.5 3 1 0.0 4 2 16.0 5 3 28.3 6 1 0.0 11 6 6 0 2 64.2 1 1 0.0 2 2 4.0 3 2 19.5 4 3 33.7 5 2 7.0 6 1 0.0 11 6 7 0 1 91.7 1 3 28.7 2 2 30.5 3 1 0.0 4 2 29.0 5 2 3.5 6 1 0.0 11 6 8 0 2 66.2 1 3 6.7 2 2 19.5 3 2 15.5 4 1 0.0 5 1 0.0 6 2 24.5 11 6 9 0 2 84.8 1 1 0.0 2 2 19.0 3 0 0.0 4 3 10.7 5 3 24.7 6 2 20.5 11 6 10 0 3 93.2 1 1 0.0 2 2 19.0 3 2 21.0 4 1 18.0 5 1 0.0 6 4 35.2 11 6 11 0 3 73.3 1 2 21.5 2 1 0.0 3 3 33.0 4 1 0.0 5 0 0.0 6 4 18.8 11 6 12 0 1 75.8 1 1 0.0 2 2 19.0 3 1 0.0 4 2 24.5 5 4 30.2 6 1 0.0 11 6 13 0 2 102.7 1 1 0.0 2 1 0.0 3 1 0.0 4 1 19.0 5 4 36.0 6 3 47.7 11 6 14 0 4 85.0 1 2 26.0 2 4 40.5 3 1 0.0 4 1 0.0 5 2 18.5 6 1 0.0 11 6 15 0 3 113.5 1 3 50.0 2 2 19.5 3 1 0.0 4 1 0.0 5 1 0.0 6 3 19.0 11 6 16 0 2 72.0 1 1 0.0 2 0 0.0 3 1 0.0 4 4 23.0 5 2 7.0 6 3 42.0 11 6 17 0 3 90.2 1 2 26.0 2 1 0.0 3 2 29.5 4 2 16.0 5 3 12.7 6 1 0.0 11 6 18 0 2 94.2 1 3 38.0 2 1 14.0 3 2 29.5 4 1 0.0 5 3 12.7 6 1 0.0 11 6 19 0 2 78.5 1 1 0.0 2 2 19.5 3 4 29.5 4 1 0.0 5 1 0.0 6 2 24.5 11 6 20 0 1 138.3 1 2 3.5 2 3 57.3 3 1 0.0 4 1 0.0 5 2 44.5 6 2 33.0 Clustering for N = 6 1 4 6 2 5 6 3 4 4 6 5 TEST14 TIHEXM clusters data using criteria that do not rely on the computation of centers. Three different methods are available. In this run, we use method 3 We assume access to a pair-wise distance matrix. Data set is in file spaeth_11.txt Number of data items is 11 DATA_D_READ: Number of lines read was 34 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 2 1 0 1 39.6 1 5 18.1 2 6 21.5 11 2 2 0 1 57.1 1 5 29.0 2 6 28.1 11 2 3 0 1 46.6 1 5 21.9 2 6 24.7 11 2 4 0 0 57.8 1 5 27.1 2 6 30.7 11 2 5 0 2 40.9 1 7 32.4 2 4 8.5 11 2 6 0 0 52.7 1 6 30.0 2 5 22.7 11 2 7 0 3 49.2 1 4 19.2 2 7 29.9 11 2 8 0 3 43.9 1 6 20.5 2 5 23.4 11 2 9 0 2 41.9 1 5 13.9 2 6 27.9 11 2 10 0 2 45.3 1 7 27.1 2 4 18.2 11 2 11 0 1 50.9 1 7 33.9 2 4 17.0 11 2 12 0 0 54.0 1 7 32.1 2 4 21.8 11 2 13 0 2 41.9 1 5 20.6 2 6 21.3 11 2 14 0 0 50.6 1 7 32.1 2 4 18.5 11 2 15 0 1 55.4 1 6 33.7 2 5 21.7 11 2 16 0 1 47.9 1 6 30.1 2 5 17.8 11 2 17 0 2 43.4 1 4 14.3 2 7 29.1 11 2 18 0 1 57.4 1 6 33.0 2 5 24.4 11 2 19 0 3 45.2 1 6 21.2 2 5 24.0 11 2 20 0 3 46.3 1 6 20.6 2 5 25.8 Clustering for N = 2 1 2 2 2 1 2 2 1 1 2 1 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 3 1 0 2 65.7 1 3 17.2 2 4 29.0 3 4 19.5 11 3 2 0 3 43.0 1 0 0.0 2 7 19.8 3 4 13.2 11 3 3 0 0 59.2 1 3 12.0 2 3 19.0 3 5 28.2 11 3 4 0 0 90.3 1 4 35.8 2 4 28.8 3 3 25.7 11 3 5 0 2 52.9 1 6 17.0 2 5 12.9 3 0 0.0 11 3 6 0 1 48.0 1 4 13.2 2 3 16.8 3 4 17.9 11 3 7 0 3 65.7 1 4 18.2 2 3 25.5 3 4 21.9 11 3 8 0 1 66.8 1 0 0.0 2 4 7.4 3 7 28.4 11 3 10 0 3 61.7 1 3 23.8 2 3 17.7 3 5 20.2 11 3 11 0 2 63.8 1 4 29.2 2 3 19.0 3 4 15.7 11 3 12 0 3 71.4 1 4 17.4 2 4 32.5 3 3 21.5 11 3 13 0 5 54.0 1 6 18.4 2 0 0.0 3 5 16.1 11 3 14 0 2 64.1 1 3 23.8 2 5 23.2 3 3 17.0 11 3 15 0 2 55.7 1 3 15.0 2 4 23.2 3 4 17.4 11 3 16 0 3 51.2 1 5 18.9 2 6 15.3 3 0 0.0 11 3 17 0 2 66.6 1 5 27.1 2 3 20.3 3 3 19.2 11 3 18 0 4 64.6 1 3 24.7 2 3 19.5 3 5 20.4 11 3 19 0 3 55.9 1 4 11.4 2 0 0.0 3 7 24.5 11 3 20 0 2 40.6 1 6 17.4 2 0 0.0 3 5 19.2 Clustering for N = 3 1 1 3 3 1 3 3 1 1 3 1 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 4 1 0 2 78.3 1 0 0.0 2 0 0.0 3 6 17.0 4 5 11.3 11 4 4 0 1 78.0 1 4 27.5 2 3 12.7 3 4 24.8 4 0 0.0 11 4 6 0 1 57.9 1 5 23.4 2 0 0.0 3 3 13.5 4 3 13.0 11 4 7 0 2 82.8 1 0 0.0 2 3 15.7 3 4 16.2 4 4 15.0 11 4 10 0 2 62.2 1 4 25.1 2 0 0.0 3 3 16.3 4 4 16.8 11 4 13 0 3 79.2 1 5 14.7 2 6 12.0 3 0 0.0 4 0 0.0 11 4 14 0 2 86.5 1 6 13.0 2 5 14.6 3 0 0.0 4 0 0.0 11 4 16 0 2 54.3 1 0 0.0 2 5 22.4 3 3 13.5 4 3 6.3 11 4 17 0 4 60.5 1 5 10.8 2 1 0.0 3 0 0.0 4 5 17.6 11 4 19 0 2 50.7 1 6 16.4 2 0 0.0 3 0 0.0 4 5 11.3 11 4 20 0 3 59.8 1 4 20.5 2 4 13.8 3 3 12.5 4 0 0.0 Clustering for N = 4 4 1 1 1 4 1 1 4 4 1 4 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 5 1 0 3 58.0 1 1 0.0 2 3 10.2 3 0 0.0 4 2 9.5 5 5 13.3 11 5 4 0 3 56.2 1 1 0.0 2 1 0.0 3 1 0.0 4 4 7.7 5 4 11.5 11 5 20 0 3 52.0 1 1 0.0 2 0 0.0 3 4 9.0 4 0 0.0 5 6 14.5 Clustering for N = 5 3 5 5 5 1 5 5 3 3 5 3 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E Clustering for N = 6 3 5 5 5 1 5 5 3 3 5 3 TEST16 DATA_D_WRITE writes real data to a file. In this example, we create a distance matrix used in one of the Spaeth examples and write it to a file. TEST16 CLREXM clusters data using criteria that do not rely on the computation of centers. Data set is in file spaeth_13.txt Number of data rows is 96 Number of data columns is 5 DATA_D_READ: Number of lines read was 116 M S N M0 NR IT D J MJ E J MJ E J MJ E J MJ E 96 4 2 4 1 5 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 2 6 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 3 4 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 4 8 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 5 7 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 6 9 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 7 13 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 8 6 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 9 5 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 10 5 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 11 6 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 12 8 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 13 4 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 14 12 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 15 7 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 16 5 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 17 8 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 18 6 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 19 12 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 20 11 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 Clustering for N = 2 1 1 1 1 1 1 1 2 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 1 2 1 2 1 1 1 1 2 1 1 2 1 2 2 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 2 1 1 1 1 2 2 1 1 1 1 2 2 2 Cluster coefficients: 1 61.9990 7.67001 -0.691724 -9.41264 2 1.16557 2.04943 50.4124 3.17250 M S N M0 NR IT D J MJ E J MJ E J MJ E J MJ E 96 4 3 4 1 4 3277.83 1 32 1664.57 2 48 1332.73 3 16 280.536 96 4 3 4 2 9 0.357664E+08 1 14 0.244343E+07 2 39 0.327007E+08 3 43 622250. 96 4 3 4 3 3 3277.83 1 48 1332.73 2 32 1664.57 3 16 280.536 96 4 3 4 4 3 3277.83 1 48 1332.73 2 32 1664.57 3 16 280.536 96 4 3 4 5 7 0.357664E+08 1 43 622250. 2 39 0.327007E+08 3 14 0.244343E+07 96 4 3 4 6 4 3277.83 1 48 1332.73 2 32 1664.57 3 16 280.536 96 4 3 4 7 4 3277.83 1 48 1332.73 2 16 280.536 3 32 1664.57 96 4 3 4 8 4 3277.83 1 48 1332.73 2 32 1664.57 3 16 280.536 96 4 3 4 9 4 3277.83 1 16 280.536 2 48 1332.73 3 32 1664.57 96 4 3 4 10 5 3277.83 1 48 1332.73 2 16 280.536 3 32 1664.57 96 4 3 4 11 6 0.353174E+08 1 16 0.306998E+07 2 36 0.307318E+08 3 44 0.151563E+07 96 4 3 4 12 5 3277.83 1 16 280.536 2 48 1332.73 3 32 1664.57 96 4 3 4 13 3 3277.83 1 32 1664.57 2 16 280.536 3 48 1332.73 96 4 3 4 14 3 3277.83 1 16 280.536 2 48 1332.73 3 32 1664.57 96 4 3 4 15 6 3277.83 1 32 1664.57 2 16 280.536 3 48 1332.73 96 4 3 4 16 4 3277.83 1 48 1332.73 2 16 280.536 3 32 1664.57 96 4 3 4 17 5 3277.83 1 16 280.536 2 32 1664.57 3 48 1332.73 96 4 3 4 18 7 0.353174E+08 1 44 0.151563E+07 2 36 0.307318E+08 3 16 0.306998E+07 96 4 3 4 19 6 3277.83 1 16 280.536 2 32 1664.57 3 48 1332.73 96 4 3 4 20 5 3277.83 1 16 280.536 2 32 1664.57 3 48 1332.73 Clustering for N = 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 Cluster coefficients: 1 2.01669 1.01055 49.9589 0.936244 2 69.9584 -0.967793 1.00415 -4.01691 3 1.05426 79.9407 3.01816 -60.0023 M S N M0 NR IT D J MJ E J MJ E J MJ E J MJ E 96 4 4 4 1 4 3138.25 1 15 253.792 2 4 -0.636049E-07 3 47 1258.73 4 30 1625.73 96 4 4 4 2 3 3229.51 1 4 0.151735E-06 2 32 1664.57 3 47 1331.95 4 13 232.991 96 4 4 4 3 8 3041.70 1 31 1664.52 2 7 35.5917 3 10 8.86725 4 48 1332.73 96 4 4 4 4 5 3126.19 1 44 1215.36 2 15 246.060 3 32 1664.57 4 5 0.201748 96 4 4 4 5 4 3211.03 1 15 279.992 2 4 -0.644504E-07 3 32 1664.57 4 45 1266.47 96 4 4 4 6 4 3218.66 1 46 1327.74 2 15 280.449 3 31 1610.47 4 4 0.801741E-07 96 4 4 4 7 4 2995.70 1 5 3.71603 2 44 1073.62 3 15 253.792 4 32 1664.57 96 4 4 4 8 5 3061.83 1 9 21.8175 2 48 1332.73 3 32 1664.57 4 7 42.7106 96 4 4 4 9 6 3233.40 1 46 1326.04 2 14 242.784 3 4 -0.577026E-06 4 32 1664.57 96 4 4 4 10 2 3111.34 1 13 195.687 2 4 0.173459E-06 3 47 1251.08 4 32 1664.57 96 4 4 4 11 3 3259.48 1 14 262.701 2 47 1332.35 3 4 0.157394E-06 4 31 1664.43 96 4 4 4 12 7 2716.81 1 16 280.536 2 26 1127.22 3 7 8.45130 4 47 1300.60 96 4 4 4 13 4 3147.71 1 13 151.428 2 4 0.978587E-06 3 47 1331.71 4 32 1664.57 96 4 4 4 14 5 0.450455E+08 1 27 0.139455E+08 2 20 0.490797E+07 3 26 0.198222E+08 4 23 0.636985E+07 96 4 4 4 15 4 3213.66 1 14 279.442 2 31 1660.85 3 47 1273.37 4 4 0.756135E-07 96 4 4 4 16 4 3204.54 1 47 1330.30 2 30 1593.80 3 15 280.449 4 4 0.557775E-07 96 4 4 4 17 4 3167.82 1 13 174.463 2 47 1328.79 3 32 1664.57 4 4 -0.692633E-06 96 4 4 4 18 4 3239.39 1 46 1313.21 2 32 1664.57 3 4 -0.230641E-06 4 14 261.608 96 4 4 4 19 4 3073.39 1 4 -0.425619E-07 2 30 1578.84 3 16 280.536 4 46 1214.01 96 4 4 4 20 4 3132.62 1 4 -0.113541E-07 2 48 1332.73 3 15 254.725 4 29 1545.17 Clustering for N = 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 3 2 2 2 2 2 2 2 2 2 2 2 3 2 2 2 2 3 2 3 2 2 2 3 2 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Cluster coefficients: 1 1.05426 79.9407 3.01816 -60.0023 2 2.01813 1.01376 49.9787 0.905221 3 2.52023 0.624766E-01 49.8615 2.60354 4 69.9624 -0.968468 1.00689 -4.02485 M S N M0 NR IT D J MJ E J MJ E J MJ E J MJ E 96 4 5 4 1 6 3013.75 1 5 2.71081 2 8 13.7442 3 48 1332.73 4 4 0.664327E-07 5 31 1664.57 96 4 5 4 2 3 3047.81 1 46 1263.64 2 30 1570.74 3 4 -0.553322E-05 4 12 213.431 5 4 0.415778E-07 96 4 5 4 3 6 2763.87 1 28 1338.75 2 6 7.08698 3 44 1216.22 4 4 0.198879E-06 5 14 201.820 96 4 5 4 4 5 2877.12 1 45 1114.08 2 4 -0.914099E-05 3 31 1601.96 4 12 161.083 5 4 0.660657E-06 96 4 5 4 5 4 2940.52 1 4 0.258545E-06 2 30 1474.88 3 11 200.092 4 47 1265.55 5 4 0.169397E-06 96 4 5 4 6 2 2921.22 1 27 1374.36 2 12 210.588 3 4 0.205182E-06 4 5 3.53810 5 48 1332.73 96 4 5 4 7 4 2922.66 1 4 -0.561558E-07 2 11 138.356 3 45 1214.49 4 31 1566.02 5 5 3.80179 96 4 5 4 8 3 3183.27 1 31 1657.17 2 13 219.697 3 4 0.204309E-07 4 4 -0.787252E-07 5 44 1306.41 96 4 5 4 9 3 2645.21 1 5 6.64037 2 10 132.574 3 4 0.174390E-06 4 30 1229.26 5 47 1276.74 96 4 5 4 10 7 2951.15 1 32 1664.57 2 5 0.852505 3 47 1253.97 4 4 0.217724E-06 5 8 31.7553 96 4 5 4 11 3 3107.83 1 31 1654.74 2 4 -0.102924E-05 3 11 174.611 4 46 1278.48 5 4 -0.107475E-07 96 4 5 4 12 7 1842.99 1 16 82.9275 2 16 280.536 3 4 -0.128037E-07 4 45 1226.50 5 15 253.034 96 4 5 4 13 4 3105.70 1 43 1228.62 2 5 4.21410 3 31 1617.42 4 13 255.452 5 4 -0.208965E-06 96 4 5 4 14 5 1884.57 1 48 1332.73 2 4 -0.180950E-07 3 15 66.2018 4 15 231.623 5 14 254.015 96 4 5 4 15 5 2950.19 1 30 1479.69 2 5 0.625026 3 47 1307.89 4 10 161.988 5 4 0.121596E-06 96 4 5 4 16 7 2985.54 1 7 3.01251 2 6 10.0699 3 47 1307.89 4 32 1664.57 5 4 0.791624E-07 96 4 5 4 17 3 2839.49 1 46 1304.03 2 4 -0.366708E-07 3 13 113.645 4 29 1421.81 5 4 0.143609E-08 96 4 5 4 18 6 2146.51 1 26 152.227 2 13 235.397 3 22 213.206 4 4 -0.709391E-06 5 31 1545.68 96 4 5 4 19 3 2955.58 1 4 -0.492528E-07 2 30 1574.08 3 46 1229.08 4 4 -0.147993E-07 5 12 152.420 96 4 5 4 20 6 3049.29 1 4 -0.154273E-05 2 10 155.758 3 4 0.324566E-06 4 46 1228.96 5 32 1664.57 Clustering for N = 5 4 4 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 4 4 4 4 4 4 4 3 4 4 4 4 5 5 5 1 5 5 1 1 1 5 1 1 5 5 5 5 5 1 1 5 3 1 5 1 1 1 1 5 1 5 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 Cluster coefficients: 1 2.06079 1.00175 49.9780 0.773351 2 1.05426 79.9407 3.01816 -60.0023 3 4.44531 14.2911 40.5892 -42.3458 4 69.9558 -0.977438 1.00858 -4.00757 5 1.98252 0.961821 49.9828 1.13785 SPAETH_TEST Normal end of execution. 24 October 2024 7:48:53.074 PM