May 18 2007 4:44:48.438 AM SPAETH_PRB FORTRAN90 version A set of test programs for 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. . A B . . A A B B. . A B B . . A A A A . .A . . A . . A A . . . . . . . . C . . . . C . . C C C . . C . . C C . . . . C . . C . . . . C . . . . C C C . . C C . .................................................... M = 37 N = 3 IT = 2 D = 1557.78 1 12 390.583 2 9 86.4444 3 16 1080.75 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 .000000 .000000 .000000 2 .699951 1.00000 .000000 .000000 3 .275312 .304463 1.00000 .000000 4 .661102 .484259 .613791 1.00000 The desired Cholesky factor D: Col 1 2 3 4 Row 1 1.23390 .000000 .000000 .000000 2 .000000 1.16000 .000000 .000000 3 .000000 .000000 .798013 .000000 4 .000000 .000000 .000000 1.17944 The matrix A: Col 1 2 3 4 Row 1 1.23390 .863669 .339707 .815734 2 .863669 1.76453 .590957 1.13272 3 .339707 .590957 .999068 .885424 4 .815734 1.13272 .885424 2.29140 The computed Cholesky factor L: Col 1 2 3 4 Row 1 1.00000 .000000 .000000 .000000 2 .699951 1.00000 .000000 .000000 3 .275312 .304463 1.00000 .000000 4 .661102 .484259 .613791 1.00000 The computed Cholesky factor D: Col 1 2 3 4 Row 1 1.23390 .000000 .000000 .000000 2 .000000 1.16000 .000000 .000000 3 .000000 .000000 .798013 .000000 4 .000000 .000000 .000000 1.17944 The computed product L * D * L': Col 1 2 3 4 Row 1 1.23390 .863669 .339707 .815734 2 .863669 1.76453 .590957 1.13272 3 .339707 .590957 .999068 .885424 4 .815734 1.13272 .885424 2.29140 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 17092.2 3 3 17092.2 4 2 17124.5 5 2 17124.5 6 3 17124.5 7 3 17124.5 8 1 16494.2 9 2 17124.5 10 2 17092.2 11 3 17124.5 12 2 15862.5 13 2 17124.5 14 3 17092.2 15 4 17124.5 16 2 17124.5 17 2 17092.2 18 2 17092.2 19 3 17124.5 20 2 17124.5 Cluster size = 3 1 6 8626.95 2 7 8626.95 3 7 8626.95 4 5 8626.95 5 5 8626.95 6 7 8626.95 7 7 8626.95 8 7 8626.95 9 6 8626.95 10 6 8626.95 11 6 8626.95 12 7 10189.6 13 2 8626.95 14 7 8626.95 15 5 8626.95 16 6 8626.95 17 5 8626.95 18 7 8626.95 19 4 8626.95 20 3 8626.95 Cluster size = 4 1 5 5437.13 2 3 5437.13 3 4 5449.66 4 5 5437.13 5 3 5437.13 6 4 5424.11 7 6 5437.13 8 2 5437.13 9 6 5424.11 10 3 5449.66 11 6 5437.13 12 5 5437.13 13 6 5437.13 14 3 5437.13 15 5 5449.66 16 6 5424.11 17 6 5437.13 18 5 5437.13 19 4 5437.13 20 5 5449.66 Cluster size = 5 1 5 4809.70 2 4 4800.69 3 7 4063.97 4 8 4063.97 5 5 4809.67 6 4 4809.70 7 4 4809.70 8 5 4063.97 9 7 4063.97 10 5 4809.70 11 2 4809.70 12 3 4063.97 13 5 4800.69 14 2 4809.70 15 4 4800.69 16 2 4989.17 17 9 4063.97 18 7 4063.97 19 5 4809.70 20 6 4063.97 Cluster size = 6 1 9 3577.66 2 8 3219.97 3 7 3577.66 4 6 3675.52 5 5 3577.66 6 8 3219.97 7 5 3591.59 8 6 3219.97 9 6 3219.97 10 6 3522.36 11 4 3591.59 12 8 3219.97 13 4 3219.97 14 4 3591.59 15 6 3577.66 16 4 3591.59 17 4 3591.59 18 9 3577.66 19 9 3577.66 20 4 3591.59 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 4 15862.5 2 9 17092.2 3 7 15862.5 4 8 15862.5 5 4 15862.5 6 6 15862.5 7 5 17092.2 8 3 16494.2 9 11 17092.2 10 11 17092.2 11 11 17092.2 12 4 15862.5 13 6 15862.5 14 11 17092.2 15 5 17124.5 16 9 17092.2 17 11 17092.2 18 4 15862.5 19 6 15862.5 20 6 15862.5 Cluster size = 3 1 7 9704.54 2 10 8626.95 3 7 9704.54 4 6 8626.95 5 9 10240.0 6 7 10240.0 7 6 8626.95 8 6 8626.95 9 7 10189.6 10 5 10240.0 11 4 9704.54 12 4 10240.0 13 4 8650.14 14 8 10240.0 15 4 8626.95 16 5 8626.95 17 6 10189.6 18 7 8626.95 19 6 8650.14 20 6 10189.6 Cluster size = 4 1 8 5447.19 2 6 8121.40 3 8 5491.60 4 -2 .000000 5 5 5437.13 6 7 5441.55 7 4 7982.96 8 6 5444.93 9 -2 .000000 10 6 5491.60 11 7 5437.13 12 9 5491.60 13 5 5457.20 14 4 7991.38 15 7 5474.04 16 -2 .000000 17 -2 .000000 18 6 5444.93 19 6 5449.66 20 4 5477.14 Cluster size = 5 1 -2 .000000 2 6 3896.01 3 -2 .000000 4 6 5230.33 5 -2 .000000 6 11 4102.75 7 4 3896.01 8 9 4090.02 9 -2 .000000 10 -2 .000000 11 8 4102.75 12 4 3896.01 13 -2 .000000 14 4 3855.19 15 -2 .000000 16 6 4132.87 17 7 4090.02 18 4 4883.06 19 5 3964.52 20 -2 .000000 Cluster size = 6 1 -2 .000000 2 6 3694.10 3 -2 .000000 4 7 3632.81 5 10 3623.93 6 5 3616.42 7 -2 .000000 8 8 3516.80 9 -2 .000000 10 7 3438.58 11 5 3234.65 12 -2 .000000 13 7 3231.89 14 -2 .000000 15 -2 .000000 16 7 3760.99 17 -2 .000000 18 5 3593.23 19 7 3591.59 20 8 2518.85 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 15862.5 2 2 17092.2 3 2 15862.5 4 2 15862.5 5 2 15862.5 6 2 15862.5 7 2 17092.2 8 2 16494.2 9 2 17092.2 10 2 17092.2 11 2 17092.2 12 2 15862.5 13 2 15862.5 14 2 17092.2 15 2 17124.5 16 2 17092.2 17 2 17092.2 18 2 15862.5 19 2 15862.5 20 2 15862.5 Cluster size = 3 1 2 9704.54 2 2 8626.95 3 2 9704.54 4 2 8626.95 5 2 10240.0 6 2 10240.0 7 2 8626.95 8 2 8626.95 9 2 10189.6 10 2 10240.0 11 2 9704.54 12 2 10240.0 13 2 8650.14 14 2 10240.0 15 2 8626.95 16 2 8626.95 17 2 10189.6 18 2 8626.95 19 2 8650.14 20 2 10189.6 Cluster size = 4 1 2 5447.19 2 2 8121.40 3 2 5491.60 4 -2 .000000 5 2 5437.13 6 2 5441.55 7 2 7982.96 8 2 5444.93 9 -2 .000000 10 2 5491.60 11 2 5437.13 12 2 5491.60 13 2 5457.20 14 2 7991.38 15 2 5474.04 16 -2 .000000 17 -2 .000000 18 2 5444.93 19 2 5449.66 20 2 5477.14 Cluster size = 5 1 -2 .000000 2 2 3896.01 3 -2 .000000 4 2 5230.33 5 -2 .000000 6 2 4102.75 7 2 3896.01 8 2 4090.02 9 -2 .000000 10 -2 .000000 11 2 4102.75 12 2 3896.01 13 -2 .000000 14 2 3855.19 15 -2 .000000 16 2 4132.87 17 2 4090.02 18 2 4883.06 19 2 3964.52 20 -2 .000000 Cluster size = 6 1 -2 .000000 2 2 3694.10 3 -2 .000000 4 2 3632.81 5 2 3623.93 6 2 3616.42 7 -2 .000000 8 2 3516.80 9 -2 .000000 10 2 3438.58 11 2 3234.65 12 -2 .000000 13 2 3231.89 14 -2 .000000 15 -2 .000000 16 2 3760.99 17 -2 .000000 18 2 3593.23 19 2 3591.59 20 2 2518.85 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 4 0.890176E-01 3 2 0.890176E-01 4 3 0.890176E-01 5 8 0.890176E-01 6 1 0.890176E-01 7 1 0.890176E-01 8 2 0.890176E-01 9 4 0.890176E-01 10 1 0.890176E-01 11 3 0.890176E-01 12 2 0.890176E-01 13 5 0.890176E-01 14 7 0.890176E-01 15 2 0.890176E-01 16 6 0.890176E-01 17 2 0.890176E-01 18 7 0.890176E-01 19 7 0.890176E-01 20 8 0.890176E-01 Cluster size = 3 1 2 0.404192E-01 2 3 0.404192E-01 3 2 0.404192E-01 4 4 0.404192E-01 5 9 .128088 6 5 0.247486E-01 7 2 0.404192E-01 8 2 0.404192E-01 9 5 0.404192E-01 10 6 .125361 11 2 0.404192E-01 12 5 .125361 13 2 0.404192E-01 14 4 0.247486E-01 15 2 0.404192E-01 16 3 0.404192E-01 17 4 0.404192E-01 18 8 .128088 19 3 0.404192E-01 20 5 .124769 Cluster size = 4 1 3 0.307794E-01 2 4 0.103544E-01 3 3 0.103544E-01 4 3 0.307794E-01 5 10 0.691241E-01 6 2 0.324157E-01 7 5 0.103544E-01 8 4 0.307794E-01 9 4 0.103544E-01 10 4 0.103544E-01 11 5 0.103544E-01 12 6 0.103544E-01 13 4 0.103544E-01 14 5 0.103544E-01 15 6 0.103544E-01 16 4 0.103544E-01 17 4 0.307794E-01 18 14 0.691241E-01 19 4 0.307794E-01 20 6 0.103544E-01 Cluster size = 5 1 8 0.541069E-02 2 4 0.254352E-01 3 5 0.254352E-01 4 5 0.520168E-02 5 8 0.541069E-02 6 11 0.541069E-02 7 5 0.254352E-01 8 5 0.434381E-01 9 4 0.254352E-01 10 4 0.254352E-01 11 4 0.775673E-02 12 7 0.775673E-02 13 11 0.520168E-02 14 4 0.825551E-02 15 6 0.541069E-02 16 4 0.671125E-02 17 8 0.520168E-02 18 7 0.775673E-02 19 7 0.520168E-02 20 7 0.520168E-02 Cluster size = 6 1 6 0.363544E-02 2 9 0.103078E-01 3 6 0.361911E-02 4 5 0.479741E-02 5 7 0.103078E-01 6 5 0.361911E-02 7 4 0.236332E-01 8 9 0.414946E-02 9 8 0.363544E-02 10 10 0.385452E-02 11 8 0.479741E-02 12 5 0.453167E-02 13 4 0.479741E-02 14 6 0.361911E-02 15 6 0.361911E-02 16 6 0.108655E-01 17 6 0.361911E-02 18 5 0.363544E-02 19 9 0.363544E-02 20 8 0.103078E-01 TEST09 DWBEXM clusters the data. Minimal cluster population M0 = 3 Determinant exponent BETA = .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 2 .250713 2 2 .250713 3 1 .250713 4 3 .250713 5 3 .250713 6 2 .250713 7 2 .250713 8 2 .250713 9 2 .250713 10 6 .514099 11 1 .250713 12 2 .250713 13 1 .250713 14 4 .514099 15 4 .514099 16 2 .250713 17 2 .250713 18 2 .250713 19 2 .250713 20 2 .250713 Cluster size = 3 1 4 .188394 2 2 .188394 3 8 .186937 4 -7 .000000 5 4 .188394 6 4 .188394 7 5 .190067 8 4 .190067 9 2 .186937 10 3 .189630 11 9 .186937 12 4 .190067 13 5 .190067 14 3 .225804 15 2 .188394 16 3 .188394 17 3 .189630 18 4 .186937 19 5 .190067 20 4 .188394 Cluster size = 4 1 -7 .000000 2 -7 .000000 3 8 .125854 4 7 .124618 5 3 .131636 6 2 .177496 7 4 .124618 8 7 .124618 9 4 .138203 10 -7 .000000 11 4 .131399 12 6 .124618 13 7 .125854 14 3 0.908616E-01 15 6 .158291 16 5 .121397 17 6 .163730 18 8 .124618 19 6 .121318 20 7 .124618 Cluster size = 5 1 6 .106334 2 8 .102387 3 7 .102766 4 -7 .000000 5 4 0.957676E-01 6 4 0.768073E-01 7 5 .107581 8 4 .112882 9 5 .107483 10 -7 .000000 11 5 .106765 12 3 .107998 13 5 .102466 14 -7 .000000 15 7 0.804611E-01 16 7 .102349 17 3 0.813429E-01 18 4 0.955650E-01 19 -7 .000000 20 -7 .000000 Cluster size = 6 1 -7 .000000 2 4 0.933720E-01 3 2 0.863942E-01 4 4 .107067 5 7 0.930459E-01 6 5 0.800609E-01 7 5 0.867849E-01 8 -7 .000000 9 4 0.578764E-01 10 6 0.911067E-01 11 -7 .000000 12 -7 .000000 13 4 0.936892E-01 14 -7 .000000 15 6 0.797899E-01 16 -7 .000000 17 4 0.609477E-01 18 -7 .000000 19 4 0.657314E-01 20 -7 .000000 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 -4476 1 1 -776 2 4 -2099 3 106 -392 4 11 -1209 122 4 2 16 -1740 1 1 -490 2 46 -726 3 70 75 4 5 -599 122 4 3 14 -3302 1 29 -54 2 81 -572 3 1 -1674 4 11 -1002 122 4 4 16 -1830 1 29 -59 2 1 -1121 3 16 -960 4 76 310 122 4 5 8 -1407 1 3 -565 2 87 -62 3 21 -315 4 11 -465 122 4 6 16 -2594 1 28 -90 2 3 -1749 3 66 -462 4 25 -293 122 4 7 16 -1242 1 1 -502 2 6 -1096 3 110 938 4 5 -582 122 4 8 9 -561 1 7 -346 2 96 589 3 15 -484 4 4 -320 122 4 9 16 -1478 1 1 -516 2 24 -931 3 90 461 4 7 -492 122 4 10 16 -3266 1 81 372 2 1 -1808 3 31 -1091 4 9 -739 122 4 11 9 -485 1 101 1213 2 13 -427 3 7 -565 4 1 -706 122 4 12 15 -2326 1 26 -91 2 72 -496 3 9 -1299 4 15 -440 122 4 13 16 -2153 1 40 186 2 9 -1219 3 1 -1272 4 72 152 122 4 14 15 -1637 1 39 35 2 3 -1156 3 55 -310 4 25 -206 122 4 15 16 -3306 1 72 362 2 46 -744 3 3 -1763 4 1 -1161 122 4 16 16 -2707 1 33 -148 2 8 -1189 3 1 -1626 4 80 256 122 4 17 16 -3375 1 16 -336 2 20 -1213 3 83 -617 4 3 -1209 122 4 18 11 -1782 1 1 -447 2 1 -1254 3 23 -808 4 97 727 122 4 19 9 -1379 1 41 187 2 3 -1191 3 64 -37 4 14 -338 122 4 20 11 -2622 1 11 -323 2 1 -1516 3 2 -1581 4 108 798 N = 4 NRMAX = 20 1 19 131211311124313122141432 2 2 141311121113422112121112 4 231212121214311322341212 5 332311111114413111111111 17 131443441411111124341143 3 1 143111122123343413311111 3 233412212334343433342211 6 432311121313421421211114 7 333412112434334343443241 8 334321111134444433432323 9 142421311324343412341111 10 443313211134444344433331 11 443422112124443332312211 12 443421123344424444443442 13 313143112134334432331132 15 344341141224413211322144 16 342412321114342413121421 18 313143112134334432321212 20 344321111114433331332231 21 343421112224444432432222 22 334211111123422442411111 23 343421232124423133441343 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 55 333331244223432322231133 56 323341143124432221331132 57 443311133124432331232121 58 324431443232432312243343 59 443341134134422221332131 62 323241133323422322232222 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 77 343241221422313111121142 78 443311111224433421321121 79 444432212324444443434322 80 443422221124422422342211 81 343411212134342321231212 82 332311112113322112212121 83 343441313323433443432343 84 434421121114433412312111 85 343341231324433111342243 86 343342233224433332322121 87 433321213224433432332223 88 444312221123333432322121 89 444321111134433433322112 90 444422211234433332211211 91 344331343314422111231143 92 434321111213433332221121 93 443321112124433331231121 94 443312312423444424442214 95 443321223424433432431221 96 443322211223433332421112 97 444433323334442443443322 98 434432343324433332432122 99 344321121124442332421111 100 344322211214433332321232 101 343442222224432323322122 102 343321111123322232312121 103 443322121214433442332211 104 443341132224443432322111 105 444412211134433432321111 106 343322212234422222222121 107 443433122224213421212121 108 343341123223432332231222 109 433211233324432312342132 110 343341143224423121331142 111 443321233234433342332223 112 433322211124443333322111 113 433321121114422121222122 114 333313111224333332332232 115 434332133224442332432132 116 333311121114433241431111 117 443321222214443344221211 118 344321121113433331311111 119 443311111124443332221111 120 443331112224443333421121 121 344331132124422221221212 4 14 313241141221232143243444 24 443212212224433333333334 47 212343444441212134334344 48 222342344341133344444244 49 444443344434443343443343 50 333241244133422211232342 54 333331244123311111111133 60 333241233133412131212142 61 231343443421312122343143 64 333342342113322231331142 122 444442244444444442442444 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 3 1406 1 31 396 2 47 445 3 21 229 4 23 336 122 4 2 3 1417 1 27 279 2 39 415 3 32 356 4 24 367 122 4 3 4 1483 1 18 246 2 37 555 3 54 535 4 13 147 122 4 4 3 1427 1 42 445 2 28 296 3 29 353 4 23 333 122 4 5 3 1421 1 19 281 2 35 467 3 33 284 4 35 389 122 4 6 3 1358 1 62 625 2 22 260 3 19 217 4 19 256 122 4 7 5 1381 1 57 561 2 19 193 3 19 286 4 27 341 122 4 8 4 1341 1 62 672 2 17 239 3 11 88 4 32 342 122 4 9 4 1420 1 37 328 2 36 446 3 28 335 4 21 311 122 4 10 5 1395 1 23 360 2 40 363 3 39 432 4 20 240 122 4 11 4 1422 1 49 490 2 27 293 3 33 473 4 13 166 122 4 12 6 1355 1 38 466 2 21 234 3 42 375 4 21 280 122 4 13 3 1391 1 49 467 2 37 451 3 19 275 4 17 198 122 4 14 6 1404 1 33 382 2 22 297 3 17 224 4 50 501 122 4 15 3 1455 1 29 434 2 46 448 3 38 492 4 9 81 122 4 16 8 1365 1 19 211 2 39 455 3 41 372 4 23 327 122 4 17 4 1410 1 29 315 2 19 253 3 34 328 4 40 514 122 4 18 5 1396 1 36 441 2 26 329 3 19 263 4 41 363 122 4 19 5 1423 1 31 399 2 20 296 3 28 332 4 43 396 122 4 20 5 1406 1 19 256 2 38 410 3 39 489 4 26 251 N = 4 NRMAX = 20 1 1 143111122123343413311111 2 141311121113422112121112 5 332311111114413111111111 6 432311121313421421211114 9 142421311324343412341111 10 443313211134444344433331 11 443422112124443332312211 16 342412321114342413121421 18 313143112134334432321212 22 334211111123422442411111 26 344322211123433332322111 27 443323211124433423322114 28 434421121224433332211121 29 343221123124442311223111 31 344321111124433331331111 32 342331111114432321121121 34 342111211124432231311121 37 444321111113432332321131 40 333212111223333322221111 41 443311112124433232312111 43 433321121124332221422111 44 433321121224432221231111 45 343321123224433332321111 46 444321111214443331311132 53 444311113133421131441131 65 343311211124433432312111 66 332211111124324321311121 68 343412211124434332221121 69 143421121434344321341212 70 443311111114443111211131 71 421421112222324222222111 72 332311112114432112212111 73 143421121134434131423112 75 434311111234243432421321 76 332211111124324321311111 78 443311111224433421321121 80 443422221124422422342211 81 343411212134342321231212 82 332311112113322112212121 84 434421121114433412312111 88 444312221123333432322121 89 444321111134433433322112 90 444422211234433332211211 92 434321111213433332221121 93 443321112124433331231121 96 443322211223433332421112 99 344321121124442332421111 100 344322211214433332321232 102 343321111123322232312121 103 443322121214433442332211 104 443341132224443432322111 105 444412211134433432321111 106 343322212234422222222121 107 443433122224213421212121 112 433322211124443333322111 113 433321121114422121222122 116 333311121114433241431111 117 443321222214443344221211 118 344321121113433331311111 119 443311111124443332221111 120 443331112224443333421121 121 344331132124422221221212 2 14 313241141221232143243444 15 344341141224413211322144 17 131443441411111124341143 47 212343444441212134334344 50 333241244133422211232342 54 333331244123311111111133 55 333331244223432322231133 56 323341143124432221331132 58 324431443232432312243343 59 443341134134422221332131 60 333241233133412131212142 61 231343443421312122343143 64 333342342113322231331142 77 343241221422313111121142 85 343341231324433111342243 91 344331343314422111231143 110 343341143224423121331142 3 12 443421123344424444443442 23 343421232124423133441343 48 222342344341133344444244 49 444443344434443343443343 67 434312324114344344341224 79 444432212324444443434322 83 343441313323433443432343 94 443312312423444424442214 97 444433323334442443443322 98 434432343324433332432122 122 444442244444444442442444 4 3 233412212334343433342211 4 231212121214311322341212 7 333412112434334343443241 8 334321111134444433432323 13 313143112134334432331132 19 131211311124313122141432 20 344321111114433331332231 21 343421112224444432432222 24 443212212224433333333334 25 343211111223433332222322 30 443312212224442322222222 33 444421212223433332332122 35 333321212223433332222221 36 333111221223432221112222 38 332321111114321121332112 39 333212111214333332332111 42 433322121223433232322222 51 333321111224433332321221 52 332331234124423232231232 57 443311133124432331232121 62 323241133323422322232222 63 332221132213331232322222 74 433411212124323321332112 86 343342233224433332322121 87 433321213224433432332223 95 443321223424433432431221 101 343442222224432323322122 108 343341123223432332231222 109 433211233324432312342132 111 443321233234433342332223 114 333313111224333332332232 115 434332133224442332432132 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 1429 1 33 405 2 47 434 3 25 314 4 17 276 122 4 2 0 5 1437 1 27 279 2 39 415 3 32 362 4 24 381 122 4 3 0 5 1477 1 13 247 2 30 384 3 53 514 4 26 332 122 4 4 0 3 1445 1 39 464 2 27 253 3 35 415 4 21 313 122 4 5 0 3 1436 1 23 361 2 32 388 3 30 275 4 37 412 122 4 6 0 4 1397 1 46 442 2 37 454 3 20 220 4 19 281 122 4 7 0 6 1421 1 44 401 2 36 421 3 17 274 4 25 325 122 4 8 0 2 1445 1 46 501 2 25 395 3 31 339 4 20 210 122 4 9 0 4 1420 1 37 328 2 36 446 3 28 335 4 21 311 122 4 10 0 4 1413 1 23 360 2 45 427 3 37 417 4 17 209 122 4 11 0 7 1422 1 36 398 2 44 429 3 19 305 4 23 290 122 4 12 0 4 1395 1 37 452 2 21 234 3 43 395 4 21 314 122 4 13 0 4 1393 1 46 432 2 38 465 3 19 281 4 19 215 122 4 14 0 4 1522 1 32 361 2 17 237 3 38 586 4 35 338 122 4 15 0 6 1431 1 19 281 2 44 500 3 39 494 4 20 156 122 4 16 0 3 1454 1 41 430 2 26 275 3 32 385 4 23 364 122 4 17 0 3 1434 1 23 257 2 21 313 3 40 375 4 38 489 122 4 18 0 3 1452 1 42 471 2 24 303 3 27 425 4 29 253 122 4 19 0 4 1425 1 31 399 2 19 281 3 29 349 4 43 396 122 4 20 0 4 1431 1 19 281 2 38 410 3 39 489 4 26 251 N = 4 NRMAX = 20 1 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 32 342331111114432321121121 34 342111211124432231311121 37 444321111113432332321131 39 333212111214333332332111 40 333212111223333322221111 41 443311112124433232312111 45 343321123224433332321111 46 444321111214443331311132 51 333321111224433332321221 53 444311113133421131441131 65 343311211124433432312111 68 343412211124434332221121 69 143421121434344321341212 70 443311111114443111211131 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 116 333311121114433241431111 118 344321121113433331311111 119 443311111124443332221111 120 443331112224443333421121 2 3 233412212334343433342211 7 333412112434334343443241 10 443313211134444344433331 12 443421123344424444443442 21 343421112224444432432222 23 343421232124423133441343 24 443212212224433333333334 30 443312212224442322222222 33 444421212223433332332122 35 333321212223433332222221 42 433322121223433232322222 49 444443344434443343443343 52 332331234124423232231232 57 443311133124432331232121 63 332221132213331232322222 67 434312324114344344341224 79 444432212324444443434322 80 443422221124422422342211 83 343441313323433443432343 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 3 14 313241141221232143243444 15 344341141224413211322144 17 131443441411111124341143 47 212343444441212134334344 48 222342344341133344444244 50 333241244133422211232342 54 333331244123311111111133 55 333331244223432322231133 56 323341143124432221331132 58 324431443232432312243343 59 443341134134422221332131 60 333241233133412131212142 61 231343443421312122343143 62 323241133323422322232222 64 333342342113322231331142 77 343241221422313111121142 85 343341231324433111342243 91 344331343314422111231143 110 343341143224423121331142 4 2 141311121113422112121112 4 231212121214311322341212 5 332311111114413111111111 6 432311121313421421211114 16 342412321114342413121421 19 131211311124313122141432 36 333111221223432221112222 38 332321111114321121332112 43 433321121124332221422111 44 433321121224432221231111 66 332211111124324321311121 71 421421112222324222222111 72 332311112114432112212111 74 433411212124323321332112 76 332211111124324321311111 81 343411212134342321231212 82 332311112113322112212121 113 433321121114422121222122 121 344331132124422221221212 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 -498 1 48 -26 2 1 -472 49 2 2 0 16 -662 1 48 -129 2 1 -533 49 2 3 0 16 -1442 1 1 -1043 2 48 -399 49 2 4 0 16 -1050 1 1 -729 2 48 -321 49 2 5 0 5 -88 1 1 -258 2 48 170 49 2 6 0 16 -589 1 48 57 2 1 -646 49 2 7 0 16 -1119 1 1 -874 2 48 -245 49 2 8 0 16 -2040 1 48 -778 2 1 -1262 49 2 9 0 16 -1378 1 48 -462 2 1 -916 49 2 10 0 16 -1521 1 2 -1204 2 47 -317 49 2 11 0 6 -318 1 1 -356 2 48 38 49 2 12 0 16 -1121 1 1 -949 2 48 -172 49 2 13 0 16 -917 1 47 -82 2 2 -835 49 2 14 0 16 -2161 1 48 -868 2 1 -1293 49 2 15 0 5 -210 1 1 -309 2 48 99 49 2 16 0 16 -931 1 3 -928 2 46 -3 49 2 17 0 16 -2009 1 48 -788 2 1 -1221 49 2 18 0 16 -898 1 47 -91 2 2 -807 49 2 19 0 16 -229 1 48 89 2 1 -318 49 2 20 0 16 -761 1 48 -156 2 1 -605 N = 2 NRMAX = 20 1 1 0101100010110010000100110001111001000101 3 0000000000000000000000000000000000010000 4 0000011110010000001110000000010101010111 5 0101110000011011010110111101110001000101 8 1010010010010000001101010000010101000101 12 0101000010010010000100010000110101001100 17 0001000000010000000000000000110000010100 19 0000000010010000101100000000010001000101 22 0000010010010000101100010000010101110111 25 1000000010000000000001000100000000000000 26 0100000010010010000000010000110000000100 27 0101000000011010000110010000110101000100 29 0000010010010000001101010010010111110101 32 0000000000010100000100000000010101010101 34 0000000010010000000100000000010001010111 36 0000010010010000101110000000010101000101 38 0000000010010000000000000000010000010100 39 0000000000000000000000000000010000010100 42 0000010010010110001100010000010001010101 43 0001000000010010000000000000110000010100 44 0101010010011010001100010000011001000100 45 0000010000000000000000000000000000010001 46 0000000110010000001100000000010001010101 47 0000000010010000000000000000010000000100 49 0001000000010010000000000000110000010100 2 2 0000000000000000000000000000000000000000 6 0000000010010000000000000000010000010101 7 0011000010010010001100000000110000000101 9 0101010010010010001100010000110001010111 10 0000000010010010000000000000010000010100 11 0000100000010000000110100001111001000100 13 0101000000011010000000010000110000010100 14 0000000000010010000000000000110000010100 15 0000000010010000000000000000010000010101 16 0000010010011001000100010000010001000101 18 0000010010010000001100000000010101010101 20 1000000010010000001101000000010001000101 21 1000010010010000101100000000010011000101 23 0101000110010010011100001000110101000100 24 0010000010010100000100010000010001000101 28 0101000000000000000000000000110000000100 30 0000010010010000001100000000010101010101 31 0000000010010000000000000000010000000101 33 0000010000000000000000000000010000000001 35 1101000011010011011101011100110011000100 37 0000010000010000001100000000011001010101 40 0000000000010010000000000000110000010100 41 0000010010010000001000000000010000010111 48 0000010010010000001100000000010001010101 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 49 3 1 0 16 -1436 1 1 -644 2 47 -350 3 1 -442 49 3 2 0 16 -845 1 1 -237 2 47 -146 3 1 -462 49 3 3 0 16 -1694 1 1 -343 2 1 -872 3 47 -479 49 3 4 0 16 -971 1 1 -576 2 1 -283 3 47 -112 49 3 5 0 16 -544 1 1 -146 2 1 -434 3 47 36 49 3 6 0 16 -1615 1 47 -511 2 1 -589 3 1 -515 49 3 7 0 16 -980 1 1 -137 2 1 -744 3 47 -99 49 3 8 0 16 -841 1 1 -579 2 1 -220 3 47 -42 49 3 9 0 16 -479 1 1 -133 2 1 -388 3 47 42 49 3 10 0 16 -1221 1 1 -382 2 47 -60 3 1 -779 49 3 11 0 16 -1174 1 1 -784 2 1 -279 3 47 -111 49 3 12 0 16 -905 1 1 -315 2 1 -412 3 47 -178 49 3 13 0 16 -2351 1 47 -577 2 1 -666 3 1 -1108 49 3 14 0 16 -1940 1 29 -709 2 19 -687 3 1 -544 49 3 15 0 16 -991 1 2 -734 2 46 -29 3 1 -228 49 3 16 0 16 -1501 1 1 -978 2 47 -287 3 1 -236 49 3 17 0 16 -1996 1 1 -609 2 47 -204 3 1 -1183 49 3 18 0 16 -1087 1 47 -59 2 1 -255 3 1 -773 49 3 19 0 16 -1833 1 46 -361 2 1 -527 3 2 -945 49 3 20 0 16 -1636 1 1 -541 2 1 -1053 3 47 -42 N = 3 NRMAX = 20 1 1 0101100010110010000100110001111001000101 4 0000011110010000001110000000010101010111 6 0000000010010000000000000000010000010101 11 0000100000010000000110100001111001000100 15 0000000010010000000000000000010000010101 17 0001000000010000000000000000110000010100 21 1000010010010000101100000000010011000101 27 0101000000011010000110010000110101000100 29 0000010010010000001101010010010111110101 32 0000000000010100000100000000010101010101 33 0000010000000000000000000000010000000001 34 0000000010010000000100000000010001010111 36 0000010010010000101110000000010101000101 39 0000000000000000000000000000010000010100 41 0000010010010000001000000000010000010111 44 0101010010011010001100010000011001000100 47 0000000010010000000000000000010000000100 2 2 0000000000000000000000000000000000000000 8 1010010010010000001101010000010101000101 9 0101010010010010001100010000110001010111 10 0000000010010010000000000000010000010100 13 0101000000011010000000010000110000010100 14 0000000000010010000000000000110000010100 16 0000010010011001000100010000010001000101 20 1000000010010000001101000000010001000101 23 0101000110010010011100001000110101000100 26 0100000010010010000000010000110000000100 40 0000000000010010000000000000110000010100 42 0000010010010110001100010000010001010101 45 0000010000000000000000000000000000010001 48 0000010010010000001100000000010001010101 3 3 0000000000000000000000000000000000010000 5 0101110000011011010110111101110001000101 7 0011000010010010001100000000110000000101 12 0101000010010010000100010000110101001100 18 0000010010010000001100000000010101010101 19 0000000010010000101100000000010001000101 22 0000010010010000101100010000010101110111 24 0010000010010100000100010000010001000101 25 1000000010000000000001000100000000000000 28 0101000000000000000000000000110000000100 30 0000010010010000001100000000010101010101 31 0000000010010000000000000000010000000101 35 1101000011010011011101011100110011000100 37 0000010000010000001100000000011001010101 38 0000000010010000000000000000010000010100 43 0001000000010010000000000000110000010100 46 0000000110010000001100000000010001010101 49 0001000000010010000000000000110000010100 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 49 4 1 0 16 -1674 1 46 -308 2 1 -415 3 1 -605 4 1 -346 49 4 2 0 16 -1062 1 1 -563 2 1 -199 3 46 -199 4 1 -101 49 4 3 0 16 -1176 1 46 125 2 1 -338 3 1 -483 4 1 -480 49 4 4 0 16 -980 1 1 -117 2 1 -94 3 2 -722 4 45 -47 49 4 5 0 16 -1690 1 1 -504 2 1 -380 3 1 -626 4 46 -180 49 4 6 0 16 -2366 1 1 -559 2 11 -687 3 36 -537 4 1 -583 49 4 7 0 16 -864 1 1 -80 2 1 -243 3 2 -495 4 45 -46 49 4 8 0 16 -845 1 1 -238 2 1 -168 3 1 -388 4 46 -51 49 4 9 0 16 -1056 1 1 -357 2 1 -383 3 46 78 4 1 -394 49 4 10 0 16 -1428 1 46 -6 2 1 -758 3 1 -180 4 1 -484 49 4 11 0 16 -716 1 1 -140 2 1 -101 3 46 -16 4 1 -459 49 4 12 0 16 -869 1 1 -93 2 1 -515 3 1 -172 4 46 -89 49 4 13 0 16 -1794 1 1 -759 2 1 -642 3 46 -165 4 1 -228 49 4 14 0 14 -488 1 46 90 2 1 -401 3 1 -75 4 1 -102 49 4 15 0 16 -1715 1 1 -569 2 1 -738 3 46 117 4 1 -525 49 4 16 0 16 -662 1 1 -253 2 1 -195 3 1 -244 4 46 30 49 4 17 0 16 -598 1 1 -333 2 1 -111 3 1 -237 4 46 83 49 4 18 0 16 -1437 1 46 -494 2 1 -332 3 1 -401 4 1 -210 49 4 19 0 16 -968 1 1 -314 2 1 -402 3 1 -210 4 46 -42 49 4 20 0 16 -937 1 1 -432 2 46 -22 3 1 -252 4 1 -231 N = 4 NRMAX = 20 1 1 0101100010110010000100110001111001000101 6 0000000010010000000000000000010000010101 11 0000100000010000000110100001111001000100 13 0101000000011010000000010000110000010100 16 0000010010011001000100010000010001000101 21 1000010010010000101100000000010011000101 39 0000000000000000000000000000010000010100 44 0101010010011010001100010000011001000100 2 2 0000000000000000000000000000000000000000 5 0101110000011011010110111101110001000101 8 1010010010010000001101010000010101000101 12 0101000010010010000100010000110101001100 14 0000000000010010000000000000110000010100 20 1000000010010000001101000000010001000101 26 0100000010010010000000010000110000000100 28 0101000000000000000000000000110000000100 32 0000000000010100000100000000010101010101 36 0000010010010000101110000000010101000101 40 0000000000010010000000000000110000010100 45 0000010000000000000000000000000000010001 47 0000000010010000000000000000010000000100 3 3 0000000000000000000000000000000000010000 18 0000010010010000001100000000010101010101 19 0000000010010000101100000000010001000101 23 0101000110010010011100001000110101000100 24 0010000010010100000100010000010001000101 29 0000010010010000001101010010010111110101 30 0000010010010000001100000000010101010101 33 0000010000000000000000000000010000000001 34 0000000010010000000100000000010001010111 35 1101000011010011011101011100110011000100 38 0000000010010000000000000000010000010100 43 0001000000010010000000000000110000010100 46 0000000110010000001100000000010001010101 48 0000010010010000001100000000010001010101 49 0001000000010010000000000000110000010100 4 4 0000011110010000001110000000010101010111 7 0011000010010010001100000000110000000101 9 0101010010010010001100010000110001010111 10 0000000010010010000000000000010000010100 15 0000000010010000000000000000010000010101 17 0001000000010000000000000000110000010100 22 0000010010010000101100010000010101110111 25 1000000010000000000001000100000000000000 27 0101000000011010000110010000110101000100 31 0000000010010000000000000000010000000101 37 0000010000010000001100000000011001010101 41 0000010010010000001000000000010000010111 42 0000010010010110001100010000010001010101 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 49 5 1 0 16 -1465 1 1 -356 2 1 -99 3 45 -121 4 1 -472 5 1 -417 49 5 2 0 16 -854 1 45 -30 2 1 -64 3 1 -290 4 1 -358 5 1 -112 49 5 3 0 16 -1968 1 23 -301 2 1 -292 3 1 -565 4 1 -320 5 23 -490 49 5 4 0 16 -1856 1 1 -598 2 1 -152 3 45 -353 4 1 -164 5 1 -589 49 5 5 0 16 -613 1 1 -68 2 1 -20 3 3 -418 4 43 30 5 1 -137 49 5 6 0 16 -775 1 1 -229 2 1 -128 3 45 -9 4 1 -285 5 1 -124 49 5 7 0 16 -1716 1 44 -175 2 1 -400 3 1 -412 4 1 -75 5 2 -654 49 5 8 0 16 -2080 1 1 -796 2 2 -616 3 44 -472 4 1 -114 5 1 -82 49 5 9 0 16 -1172 1 1 -249 2 1 -122 3 2 -579 4 44 -86 5 1 -136 49 5 10 0 16 -1443 1 1 -340 2 1 -439 3 1 -213 4 45 -75 5 1 -376 49 5 11 0 16 -563 1 1 -84 2 7 -248 3 1 -250 4 39 57 5 1 -38 49 5 12 0 16 -1510 1 1 -491 2 1 -401 3 1 -363 4 1 -68 5 45 -187 49 5 13 0 16 -1932 1 1 -982 2 1 -231 3 45 -198 4 1 -354 5 1 -167 49 5 14 0 16 -2288 1 2 -673 2 2 -85 3 1 -668 4 2 -304 5 42 -558 49 5 15 0 16 -1644 1 1 -427 2 1 -429 3 43 -90 4 2 -155 5 2 -543 49 5 16 0 16 -2061 1 1 -689 2 1 -432 3 1 -419 4 1 -374 5 45 -147 49 5 17 0 16 -1313 1 2 -479 2 1 -347 3 1 -235 4 44 17 5 1 -269 49 5 18 0 7 -599 1 45 198 2 1 -177 3 1 -226 4 1 -228 5 1 -166 49 5 19 0 16 -1269 1 1 -322 2 1 -291 3 1 -190 4 1 -308 5 45 -158 49 5 20 0 16 -615 1 1 -293 2 45 97 3 1 -181 4 1 -129 5 1 -109 N = 5 NRMAX = 20 1 1 0101100010110010000100110001111001000101 9 0101010010010010001100010000110001010111 14 0000000000010010000000000000110000010100 15 0000000010010000000000000000010000010101 16 0000010010011001000100010000010001000101 18 0000010010010000001100000000010101010101 21 1000010010010000101100000000010011000101 23 0101000110010010011100001000110101000100 37 0000010000010000001100000000011001010101 39 0000000000000000000000000000010000010100 44 0101010010011010001100010000011001000100 46 0000000110010000001100000000010001010101 2 2 0000000000000000000000000000000000000000 11 0000100000010000000110100001111001000100 22 0000010010010000101100010000010101110111 26 0100000010010010000000010000110000000100 27 0101000000011010000110010000110101000100 29 0000010010010000001101010010010111110101 30 0000010010010000001100000000010101010101 41 0000010010010000001000000000010000010111 45 0000010000000000000000000000000000010001 3 3 0000000000000000000000000000000000010000 8 1010010010010000001101010000010101000101 24 0010000010010100000100010000010001000101 42 0000010010010110001100010000010001010101 47 0000000010010000000000000000010000000100 48 0000010010010000001100000000010001010101 4 4 0000011110010000001110000000010101010111 12 0101000010010010000100010000110101001100 17 0001000000010000000000000000110000010100 19 0000000010010000101100000000010001000101 32 0000000000010100000100000000010101010101 33 0000010000000000000000000000010000000001 36 0000010010010000101110000000010101000101 5 5 0101110000011011010110111101110001000101 6 0000000010010000000000000000010000010101 7 0011000010010010001100000000110000000101 10 0000000010010010000000000000010000010100 13 0101000000011010000000010000110000010100 20 1000000010010000001101000000010001000101 25 1000000010000000000001000100000000000000 28 0101000000000000000000000000110000000100 31 0000000010010000000000000000010000000101 34 0000000010010000000100000000010001010111 35 1101000011010011011101011100110011000100 38 0000000010010000000000000000010000010100 40 0000000000010010000000000000110000010100 43 0001000000010010000000000000110000010100 49 0001000000010010000000000000110000010100 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 49 6 1 0 16 -1759 1 1 -139 2 33 -373 3 12 -529 4 1 -133 5 1 -454 6 1 -131 49 6 2 0 16 -1218 1 44 -23 2 1 -151 3 1 -272 4 1 -515 5 1 -221 6 1 -36 49 6 3 0 16 -914 1 44 65 2 1 -258 3 1 -40 4 1 -324 5 1 -308 6 1 -49 49 6 4 0 16 -938 1 1 -112 2 12 -116 3 1 -139 4 1 -354 5 1 -183 6 33 -34 49 6 5 0 16 -1092 1 1 -294 2 1 -195 3 1 -198 4 1 -224 5 44 -47 6 1 -134 49 6 6 0 16 -676 1 1 -111 2 44 40 3 1 -128 4 1 -154 5 1 -193 6 1 -130 49 6 7 0 16 -1618 1 1 -425 2 1 -242 3 1 -229 4 1 -209 5 44 -300 6 1 -213 49 6 8 0 16 -518 1 1 -93 2 25 -70 3 1 -28 4 1 -56 5 19 -158 6 2 -113 49 6 9 0 16 -1738 1 4 -396 2 1 -338 3 1 -219 4 40 -150 5 1 -156 6 2 -479 49 6 10 0 16 -1413 1 44 -82 2 1 -259 3 1 -349 4 1 -196 5 1 -359 6 1 -168 49 6 11 0 16 -797 1 1 -319 2 44 16 3 1 -155 4 1 -123 5 1 -161 6 1 -55 49 6 12 0 16 -1072 1 1 -263 2 1 -316 3 1 -210 4 1 -168 5 1 -175 6 44 60 49 6 13 0 16 -1866 1 1 -369 2 1 -586 3 1 -208 4 1 -197 5 1 -320 6 44 -186 49 6 14 0 16 -1401 1 1 -118 2 38 -212 3 1 -80 4 7 -233 5 1 -492 6 1 -266 49 6 15 0 16 -1208 1 1 -75 2 1 -381 3 44 -144 4 1 -87 5 1 -382 6 1 -139 49 6 16 0 16 -1067 1 1 -105 2 1 -349 3 44 -80 4 1 -193 5 1 -128 6 1 -212 49 6 17 0 16 -814 1 1 -225 2 1 -199 3 1 -22 4 44 80 5 1 -242 6 1 -206 49 6 18 0 16 -1728 1 1 -286 2 1 -213 3 43 -316 4 2 -477 5 1 -95 6 1 -341 49 6 19 0 16 -1059 1 44 209 2 1 -457 3 1 -88 4 1 -25 5 1 -470 6 1 -228 49 6 20 0 16 -1405 1 1 -326 2 1 -79 3 44 -6 4 1 -250 5 1 -376 6 1 -368 N = 6 NRMAX = 20 1 1 0101100010110010000100110001111001000101 25 1000000010000000000001000100000000000000 26 0100000010010010000000010000110000000100 31 0000000010010000000000000000010000000101 33 0000010000000000000000000000010000000001 36 0000010010010000101110000000010101000101 37 0000010000010000001100000000011001010101 41 0000010010010000001000000000010000010111 43 0001000000010010000000000000110000010100 2 2 0000000000000000000000000000000000000000 16 0000010010011001000100010000010001000101 20 1000000010010000001101000000010001000101 22 0000010010010000101100010000010101110111 27 0101000000011010000110010000110101000100 32 0000000000010100000100000000010101010101 35 1101000011010011011101011100110011000100 39 0000000000000000000000000000010000010100 45 0000010000000000000000000000000000010001 3 3 0000000000000000000000000000000000010000 7 0011000010010010001100000000110000000101 9 0101010010010010001100010000110001010111 14 0000000000010010000000000000110000010100 17 0001000000010000000000000000110000010100 18 0000010010010000001100000000010101010101 21 1000010010010000101100000000010011000101 30 0000010010010000001100000000010101010101 34 0000000010010000000100000000010001010111 48 0000010010010000001100000000010001010101 49 0001000000010010000000000000110000010100 4 4 0000011110010000001110000000010101010111 11 0000100000010000000110100001111001000100 13 0101000000011010000000010000110000010100 23 0101000110010010011100001000110101000100 24 0010000010010100000100010000010001000101 47 0000000010010000000000000000010000000100 5 5 0101110000011011010110111101110001000101 15 0000000010010000000000000000010000010101 19 0000000010010000101100000000010001000101 40 0000000000010010000000000000110000010100 44 0101010010011010001100010000011001000100 46 0000000110010000001100000000010001010101 6 6 0000000010010000000000000000010000010101 8 1010010010010000001101010000010101000101 10 0000000010010010000000000000010000010100 12 0101000010010010000100010000110101001100 28 0101000000000000000000000000110000000100 29 0000010010010000001101010010010111110101 38 0000000010010000000000000000010000010100 42 0000010010010110001100010000010001010101 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 1 959.0 1 6 299.0 2 5 660.0 11 2 2 0 2 1242.0 1 6 974.0 2 5 268.0 11 2 3 0 3 1253.0 1 5 292.0 2 6 961.0 11 2 4 0 3 1160.0 1 5 612.0 2 6 548.0 11 2 5 0 1 987.0 1 6 428.0 2 5 559.0 11 2 6 0 2 1114.0 1 6 529.0 2 5 585.0 11 2 7 0 1 1117.0 1 5 662.0 2 6 455.0 11 2 8 0 2 1272.0 1 6 226.0 2 5 1046.0 11 2 9 0 3 1106.0 1 6 488.0 2 5 618.0 11 2 10 0 2 1305.0 1 5 259.0 2 6 1046.0 11 2 11 0 2 1090.0 1 5 518.0 2 6 572.0 11 2 12 0 1 1046.0 1 6 372.0 2 5 674.0 11 2 13 0 2 1160.0 1 5 800.0 2 6 360.0 11 2 14 0 1 1298.0 1 6 682.0 2 5 616.0 11 2 15 0 1 1149.0 1 6 354.0 2 5 795.0 11 2 16 0 3 1178.0 1 5 785.0 2 6 393.0 11 2 17 0 1 1349.0 1 6 360.0 2 5 989.0 11 2 18 0 2 1113.0 1 5 565.0 2 6 548.0 11 2 19 0 2 1309.0 1 6 1085.0 2 5 224.0 11 2 20 0 1 1135.0 1 6 514.0 2 5 621.0 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 4 770.0 1 4 129.0 2 4 342.0 3 3 299.0 11 3 2 0 2 733.0 1 3 320.0 2 4 323.0 3 4 90.0 11 3 3 0 2 683.0 1 3 174.0 2 4 105.0 3 4 404.0 11 3 4 0 1 638.0 1 3 257.0 2 5 205.0 3 3 176.0 11 3 5 0 1 650.0 1 3 218.0 2 3 94.0 3 5 338.0 11 3 6 0 4 813.0 1 4 102.0 2 3 35.0 3 4 676.0 11 3 7 0 2 669.0 1 4 212.0 2 4 315.0 3 3 142.0 11 3 8 0 3 613.0 1 4 177.0 2 3 42.0 3 4 394.0 11 3 9 0 2 765.0 1 3 86.0 2 4 272.0 3 4 407.0 11 3 10 0 3 599.0 1 3 282.0 2 4 181.0 3 4 136.0 11 3 11 0 2 918.0 1 3 59.0 2 5 318.0 3 3 541.0 11 3 12 0 2 696.0 1 4 192.0 2 4 154.0 3 3 350.0 11 3 13 0 2 654.0 1 5 178.0 2 3 353.0 3 3 123.0 11 3 14 0 1 606.0 1 3 202.0 2 4 274.0 3 4 130.0 11 3 15 0 1 505.0 1 5 209.0 2 3 88.0 3 3 208.0 11 3 16 0 2 854.0 1 3 47.0 2 3 480.0 3 5 327.0 11 3 17 0 2 628.0 1 4 123.0 2 3 110.0 3 4 395.0 11 3 18 0 2 690.0 1 3 68.0 2 4 482.0 3 4 140.0 11 3 19 0 1 612.0 1 4 96.0 2 4 201.0 3 3 315.0 11 3 20 0 4 778.0 1 4 482.0 2 4 201.0 3 3 95.0 Clustering for N = 3 1 2 3 2 1 3 2 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 2 501.0 1 3 34.0 2 3 132.0 3 2 174.0 4 3 161.0 11 4 2 0 2 435.0 1 3 152.0 2 4 41.0 3 2 226.0 4 2 16.0 11 4 3 0 3 416.0 1 4 72.0 2 3 127.0 3 2 201.0 4 2 16.0 11 4 4 0 2 592.0 1 2 141.0 2 2 22.0 3 3 66.0 4 4 363.0 11 4 5 0 1 365.0 1 2 174.0 2 4 32.0 3 2 62.0 4 3 97.0 11 4 6 0 3 300.0 1 2 101.0 2 2 79.0 3 3 67.0 4 4 53.0 11 4 7 0 2 458.0 1 3 34.0 2 3 132.0 3 3 160.0 4 2 132.0 11 4 8 0 2 458.0 1 4 33.0 2 3 257.0 3 2 131.0 4 2 37.0 11 4 9 0 2 354.0 1 3 164.0 2 4 66.0 3 2 41.0 4 2 83.0 11 4 10 0 4 465.0 1 2 7.0 2 3 131.0 3 4 247.0 4 2 80.0 11 4 11 0 2 316.0 1 4 33.0 2 2 60.0 3 2 60.0 4 3 163.0 11 4 12 0 2 480.0 1 3 62.0 2 4 28.0 3 2 225.0 4 2 165.0 11 4 13 0 3 542.0 1 2 7.0 2 4 216.0 3 2 59.0 4 3 260.0 11 4 14 0 2 459.0 1 2 52.0 2 2 39.0 3 4 248.0 4 3 120.0 11 4 15 0 2 378.0 1 4 30.0 2 2 67.0 3 2 201.0 4 3 80.0 11 4 16 0 2 444.0 1 4 201.0 2 3 103.0 3 2 124.0 4 2 16.0 11 4 17 0 3 522.0 1 2 7.0 2 2 230.0 3 4 242.0 4 3 43.0 11 4 18 0 2 552.0 1 2 22.0 2 3 433.0 3 3 26.0 4 3 71.0 11 4 19 0 2 679.0 1 2 22.0 2 3 61.0 3 3 71.0 4 3 525.0 11 4 20 0 3 521.0 1 3 73.0 2 2 235.0 3 4 206.0 4 2 7.0 Clustering for N = 4 4 4 3 3 2 3 1 4 4 1 2 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 5 1 0 3 292.0 1 2 7.0 2 2 20.0 3 2 18.0 4 3 98.0 5 2 149.0 11 5 2 0 6 211.0 1 3 20.0 2 2 134.0 3 2 18.0 4 2 32.0 5 2 7.0 11 5 3 0 0 164.0 1 3 54.0 2 3 76.0 3 2 2.0 4 2 32.0 5 1 0.0 11 5 4 0 7 249.0 1 3 15.0 2 2 16.0 3 2 53.0 4 2 56.0 5 2 109.0 11 5 5 0 4 340.0 1 2 82.0 2 2 7.0 3 2 39.0 4 2 1.0 5 3 211.0 11 5 6 0 3 305.0 1 2 53.0 2 2 91.0 3 2 59.0 4 2 92.0 5 3 10.0 11 5 7 0 2 220.0 1 2 52.0 2 2 60.0 3 2 1.0 4 2 69.0 5 3 38.0 11 5 8 0 6 241.0 1 2 7.0 2 3 16.0 3 2 1.0 4 2 147.0 5 2 70.0 11 5 9 0 3 259.0 1 2 17.0 2 2 101.0 3 2 60.0 4 3 35.0 5 2 46.0 11 5 10 0 7 297.0 1 3 20.0 2 2 53.0 3 2 1.0 4 2 216.0 5 2 7.0 11 5 11 0 2 186.0 1 3 10.0 2 2 38.0 3 2 2.0 4 2 77.0 5 2 59.0 11 5 12 0 3 330.0 1 2 16.0 2 2 20.0 3 3 231.0 4 2 56.0 5 2 7.0 11 5 13 0 3 247.0 1 2 17.0 2 3 67.0 3 2 92.0 4 2 1.0 5 2 70.0 11 5 14 0 3 366.0 1 2 1.0 2 2 16.0 3 2 88.0 4 2 49.0 5 3 212.0 11 5 15 0 3 369.0 1 2 7.0 2 2 14.0 3 2 115.0 4 2 19.0 5 3 214.0 11 5 16 0 2 236.0 1 3 15.0 2 2 38.0 3 2 88.0 4 2 49.0 5 2 46.0 11 5 17 0 3 232.0 1 2 17.0 2 2 38.0 3 3 56.0 4 2 14.0 5 2 107.0 11 5 18 0 6 328.0 1 3 10.0 2 2 103.0 3 2 42.0 4 2 166.0 5 2 7.0 11 5 19 0 6 354.0 1 2 109.0 2 2 208.0 3 2 1.0 4 3 29.0 5 2 7.0 11 5 20 0 6 201.0 1 3 10.0 2 2 67.0 3 2 18.0 4 2 71.0 5 2 35.0 Clustering for N = 5 1 2 3 4 5 3 4 1 2 2 1 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 6 1 0 5 273.0 1 3 10.0 2 2 1.0 3 1 41.0 4 2 112.0 5 2 7.0 6 1 102.0 11 6 2 0 4 203.0 1 2 101.0 2 2 13.0 3 2 1.0 4 3 35.0 5 1 53.0 6 1 0.0 11 6 3 0 4 220.0 1 3 10.0 2 2 41.0 3 1 98.0 4 1 63.0 5 2 7.0 6 2 1.0 11 6 4 0 6 184.0 1 2 12.0 2 3 67.0 3 1 0.0 4 1 0.0 5 2 104.0 6 2 1.0 11 6 5 0 1 232.0 1 2 14.0 2 2 9.0 3 2 1.0 4 1 16.0 5 2 65.0 6 2 127.0 11 6 6 0 4 223.0 1 1 68.0 2 3 10.0 3 2 1.0 4 1 16.0 5 2 7.0 6 2 121.0 11 6 7 0 2 164.0 1 2 17.0 2 1 22.0 3 3 51.0 4 2 28.0 5 1 45.0 6 2 1.0 11 6 8 0 5 150.0 1 3 15.0 2 2 15.0 3 1 23.0 4 1 0.0 5 2 37.0 6 2 60.0 11 6 9 0 1 303.0 1 2 2.0 2 2 10.0 3 2 59.0 4 2 16.0 5 1 215.0 6 2 1.0 11 6 10 0 2 224.0 1 2 9.0 2 1 14.0 3 2 59.0 4 2 1.0 5 1 30.0 6 3 111.0 11 6 11 0 2 180.0 1 1 39.0 2 2 39.0 3 2 24.0 4 2 28.0 5 3 10.0 6 1 40.0 11 6 12 0 4 269.0 1 2 12.0 2 3 16.0 3 1 0.0 4 1 0.0 5 2 240.0 6 2 1.0 11 6 13 0 1 303.0 1 1 0.0 2 2 14.0 3 3 108.0 4 2 16.0 5 1 164.0 6 2 1.0 11 6 14 0 5 220.0 1 2 7.0 2 1 0.0 3 2 121.0 4 3 35.0 5 1 30.0 6 2 27.0 11 6 15 0 6 228.0 1 1 0.0 2 2 98.0 3 2 1.0 4 2 26.0 5 1 53.0 6 3 50.0 11 6 16 0 5 209.0 1 3 15.0 2 1 0.0 3 1 46.0 4 2 116.0 5 2 7.0 6 2 25.0 11 6 17 0 5 297.0 1 2 7.0 2 1 0.0 3 2 1.0 4 3 35.0 5 1 132.0 6 2 122.0 11 6 18 0 5 284.0 1 2 7.0 2 1 0.0 3 3 109.0 4 2 1.0 5 1 45.0 6 2 122.0 11 6 19 0 6 213.0 1 1 0.0 2 1 70.0 3 2 1.0 4 2 85.0 5 2 7.0 6 3 50.0 11 6 20 0 4 171.0 1 2 7.0 2 3 14.0 3 2 18.0 4 1 19.0 5 1 53.0 6 2 60.0 Clustering for N = 6 1 6 2 6 5 2 3 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 1 173.2 1 5 43.2 2 6 130.0 11 2 2 0 1 209.8 1 7 166.0 2 4 43.8 11 2 3 0 1 219.5 1 4 46.2 2 7 173.3 11 2 4 0 3 213.7 1 5 122.4 2 6 91.3 11 2 5 0 1 182.2 1 5 69.0 2 6 113.2 11 2 6 0 2 205.2 1 6 88.2 2 5 117.0 11 2 7 0 1 204.7 1 6 130.3 2 5 74.4 11 2 8 0 3 200.4 1 2 8.5 2 9 191.9 11 2 9 0 2 204.0 1 5 81.0 2 6 123.0 11 2 10 0 2 219.4 1 3 35.0 2 8 184.4 11 2 11 0 2 198.9 1 5 103.6 2 6 95.3 11 2 12 0 1 190.1 1 5 57.8 2 6 132.3 11 2 13 0 2 208.7 1 6 153.3 2 5 55.4 11 2 14 0 2 196.1 1 6 102.3 2 5 93.8 11 2 15 0 2 206.7 1 5 54.2 2 6 152.5 11 2 16 0 2 208.3 1 6 136.3 2 5 72.0 11 2 17 0 2 204.8 1 4 46.5 2 7 158.3 11 2 18 0 2 204.3 1 5 113.0 2 6 91.3 11 2 19 0 2 213.4 1 8 191.4 2 3 22.0 11 2 20 0 1 209.7 1 5 86.2 2 6 123.5 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 1 189.4 1 2 26.5 2 5 89.4 3 4 73.5 11 3 2 0 3 175.0 1 5 84.8 2 5 90.2 3 1 0.0 11 3 3 0 2 164.8 1 5 55.6 2 1 0.0 3 5 103.2 11 3 4 0 1 163.9 1 4 71.5 2 3 33.7 3 4 58.8 11 3 5 0 1 163.8 1 4 72.2 2 2 24.0 3 5 67.6 11 3 6 0 2 165.7 1 2 9.5 2 3 5.3 3 6 150.8 11 3 7 0 1 179.1 1 4 53.0 2 4 78.8 3 3 47.3 11 3 8 0 2 147.9 1 3 38.7 2 3 8.7 3 5 100.6 11 3 9 0 1 157.4 1 1 0.0 2 5 64.4 3 5 93.0 11 3 10 0 2 154.0 1 5 64.0 2 4 66.5 3 2 23.5 11 3 11 0 1 196.5 1 2 0.5 2 3 71.3 3 6 124.7 11 3 12 0 2 176.8 1 3 39.3 2 3 46.7 3 5 90.8 11 3 13 0 4 150.7 1 2 26.0 2 5 93.2 3 4 31.5 11 3 14 0 4 156.7 1 5 61.2 2 4 72.0 3 2 23.5 11 3 15 0 1 122.8 1 3 35.0 2 3 18.0 3 5 69.8 11 3 16 0 2 194.7 1 2 0.5 2 6 119.8 3 3 74.3 11 3 17 0 2 149.8 1 3 17.3 2 3 36.7 3 5 95.8 11 3 18 0 2 162.2 1 2 27.5 2 6 104.0 3 3 30.7 11 3 19 0 1 192.0 1 3 26.0 2 4 56.0 3 4 110.0 11 3 20 0 2 169.2 1 6 111.7 2 4 57.5 3 1 0.0 Clustering for N = 3 1 2 3 3 1 3 3 2 2 3 1 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 4 1 0 1 157.6 1 1 0.0 2 3 43.3 3 3 64.0 4 4 50.2 11 4 2 0 3 130.5 1 3 45.0 2 1 0.0 3 6 72.5 4 1 0.0 11 4 3 0 2 144.2 1 2 29.5 2 4 43.8 3 4 71.0 4 1 0.0 11 4 4 0 2 153.1 1 3 41.7 2 1 0.0 3 2 21.0 4 5 90.4 11 4 5 0 1 123.0 1 5 60.0 2 1 0.0 3 3 31.0 4 2 28.0 11 4 6 0 2 113.7 1 3 38.0 2 3 33.7 3 3 28.0 4 2 14.0 11 4 7 0 1 143.3 1 1 0.0 2 3 43.3 3 4 50.0 4 3 50.0 11 4 8 0 4 128.8 1 1 0.0 2 4 58.8 3 4 52.0 4 2 13.0 11 4 9 0 4 124.2 1 3 47.7 2 2 27.0 3 2 12.0 4 4 37.5 11 4 10 0 2 140.8 1 1 0.0 2 3 39.3 3 4 75.8 4 3 25.7 11 4 11 0 1 109.3 1 2 4.0 2 3 27.3 3 2 21.5 4 4 56.5 11 4 12 0 2 128.8 1 2 9.5 2 1 0.0 3 4 75.5 4 4 43.8 11 4 13 0 1 162.8 1 1 0.0 2 4 61.0 3 2 21.0 4 4 80.8 11 4 14 0 3 147.5 1 2 26.0 2 2 19.5 3 4 62.0 4 3 40.0 11 4 15 0 2 113.8 1 1 0.0 2 2 20.0 3 4 55.5 4 4 36.2 11 4 16 0 2 146.5 1 4 57.2 2 2 37.5 3 4 51.8 4 1 0.0 11 4 17 0 4 157.4 1 1 0.0 2 4 70.0 3 5 69.4 4 1 0.0 11 4 18 0 1 135.3 1 1 0.0 2 6 105.3 3 2 1.0 4 2 29.0 11 4 19 0 3 160.5 1 1 0.0 2 2 19.5 3 2 23.5 4 6 117.5 11 4 20 0 1 161.5 1 2 24.5 2 4 78.5 3 4 58.5 4 1 0.0 Clustering for N = 4 2 4 3 4 2 3 4 1 1 4 2 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 5 1 0 1 107.8 1 1 0.0 2 1 0.0 3 1 17.0 4 4 29.0 5 4 55.8 11 5 2 0 1 75.5 1 1 0.0 2 4 37.0 3 2 9.0 4 2 16.0 5 2 3.5 11 5 3 0 0 60.3 1 3 18.0 2 3 25.3 3 2 1.0 4 2 16.0 5 1 0.0 11 5 4 0 1 101.0 1 1 0.0 2 1 0.0 3 3 19.7 4 3 35.0 5 3 41.3 11 5 5 0 2 112.6 1 3 36.3 2 1 0.0 3 2 12.0 4 1 0.0 5 4 64.2 11 5 6 0 1 135.5 1 2 26.5 2 4 36.5 3 2 26.5 4 2 46.0 5 1 0.0 11 5 7 0 3 95.2 1 2 28.0 2 3 23.0 3 1 0.0 4 3 26.7 5 2 17.5 11 5 8 0 1 95.2 1 1 0.0 2 2 5.0 3 1 0.0 4 4 62.5 5 3 27.7 11 5 9 0 3 127.2 1 2 8.5 2 3 46.7 3 2 26.0 4 2 15.0 5 2 31.0 11 5 10 0 2 98.4 1 2 10.0 2 2 19.0 3 1 0.0 4 5 69.4 5 1 0.0 11 5 11 0 1 80.0 1 1 0.0 2 2 19.0 3 2 1.0 4 3 33.7 5 3 26.3 11 5 12 0 2 98.1 1 1 0.0 2 1 0.0 3 5 65.4 4 3 26.7 5 1 0.0 11 5 13 0 3 99.0 1 2 8.5 2 2 36.5 3 4 26.5 4 1 0.0 5 2 27.5 11 5 14 0 2 115.0 1 1 0.0 2 1 0.0 3 3 33.0 4 2 24.5 5 4 57.5 11 5 15 0 2 131.2 1 1 0.0 2 1 0.0 3 3 48.7 4 2 17.5 5 4 65.0 11 5 16 0 2 100.2 1 1 0.0 2 2 19.0 3 3 38.3 4 2 24.5 5 3 13.3 11 5 17 0 2 102.2 1 2 8.5 2 2 19.0 3 2 24.0 4 2 7.0 5 3 43.7 11 5 18 0 3 114.5 1 1 0.0 2 2 48.0 3 3 22.0 4 4 44.5 5 1 0.0 11 5 19 0 2 118.8 1 4 30.2 2 4 69.5 3 1 0.0 4 1 19.0 5 1 0.0 11 5 20 0 1 107.2 1 1 0.0 2 3 26.7 3 2 17.5 4 3 35.0 5 2 28.0 Clustering for N = 5 1 2 3 4 5 3 4 1 2 2 1 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 6 1 0 2 108.3 1 1 0.0 2 1 0.0 3 2 21.0 4 3 37.7 5 1 0.0 6 3 49.7 11 6 2 0 3 85.0 1 3 40.3 2 1 0.0 3 1 0.0 4 3 12.7 5 3 26.0 6 0 0.0 11 6 3 0 3 90.2 1 1 0.0 2 2 19.5 3 3 46.3 4 3 24.3 5 1 0.0 6 1 0.0 11 6 4 0 0 105.8 1 1 5.0 2 3 38.0 3 1 0.0 4 1 0.0 5 4 62.8 6 1 0.0 11 6 5 0 2 98.0 1 1 0.0 2 1 0.0 3 1 0.0 4 2 16.0 5 2 45.0 6 4 35.0 11 6 6 0 1 97.7 1 3 35.3 2 1 0.0 3 1 0.0 4 2 16.0 5 1 0.0 6 3 46.3 11 6 7 0 2 85.3 1 1 0.0 2 2 19.0 3 2 21.0 4 3 10.7 5 3 24.7 6 0 0.0 11 6 8 0 3 73.3 1 1 5.0 2 2 14.0 3 2 12.0 4 1 0.0 5 3 13.3 6 2 29.0 11 6 9 0 2 101.7 1 1 0.0 2 1 0.0 3 2 31.5 4 1 0.0 5 5 64.2 6 1 0.0 11 6 10 0 3 90.4 1 0 0.0 2 1 14.0 3 3 25.7 4 1 0.0 5 2 18.5 6 4 32.2 11 6 11 0 3 103.5 1 2 22.0 2 2 19.5 3 2 19.5 4 1 0.0 5 2 0.5 6 2 23.0 11 6 12 0 2 85.5 1 1 5.0 2 1 0.0 3 1 0.0 4 1 0.0 5 6 74.5 6 1 0.0 11 6 13 0 2 101.3 1 1 0.0 2 1 0.0 3 3 46.3 4 1 0.0 5 4 55.0 6 1 0.0 11 6 14 0 4 99.8 1 0 0.0 2 1 0.0 3 3 45.7 4 3 11.7 5 2 18.5 6 2 24.0 11 6 15 0 1 143.0 1 1 0.0 2 3 50.0 3 2 0.5 4 1 0.0 5 2 41.0 6 2 32.5 11 6 16 0 2 90.2 1 1 5.0 2 1 0.0 3 2 31.0 4 4 33.8 5 1 0.0 6 2 20.5 11 6 17 0 3 111.7 1 1 0.0 2 1 0.0 3 1 0.0 4 2 13.0 5 3 57.7 6 3 41.0 11 6 18 0 1 137.3 1 1 0.0 2 1 0.0 3 3 45.7 4 1 0.0 5 2 45.0 6 3 46.7 11 6 19 0 2 88.2 1 1 0.0 2 3 39.0 3 1 0.0 4 3 28.7 5 1 0.0 6 2 20.5 11 6 20 0 3 81.7 1 1 0.0 2 1 0.0 3 2 9.0 4 2 11.0 5 2 31.0 6 3 26.7 Clustering for N = 6 5 2 3 1 6 3 4 5 5 2 6 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 0 36.5 1 4 13.8 2 7 22.7 11 2 2 0 2 43.6 1 7 34.2 2 4 9.4 11 2 3 0 1 47.6 1 4 17.6 2 7 30.0 11 2 4 0 2 47.3 1 6 21.5 2 5 25.8 11 2 5 0 1 39.9 1 5 17.2 2 6 22.6 11 2 6 0 2 45.8 1 5 22.3 2 6 23.5 11 2 7 0 2 53.4 1 6 32.6 2 5 20.9 11 2 8 0 1 28.3 1 0 0.0 2 11 21.8 11 2 9 0 2 44.9 1 5 20.2 2 6 24.6 11 2 10 0 2 44.6 1 3 14.3 2 8 30.2 11 2 11 0 3 45.0 1 5 25.9 2 6 19.1 11 2 12 0 3 40.9 1 5 14.4 2 6 26.5 11 2 13 0 1 50.5 1 7 31.0 2 4 19.5 11 2 14 0 3 43.9 1 6 20.5 2 5 23.4 11 2 15 0 2 43.5 1 4 17.8 2 7 25.7 11 2 16 0 3 47.6 1 7 30.5 2 4 17.1 11 2 17 0 2 43.0 1 4 13.8 2 7 29.2 11 2 18 0 3 46.1 1 6 22.8 2 5 23.2 11 2 19 0 0 44.7 1 8 31.0 2 3 13.7 11 2 20 0 1 57.0 1 5 31.4 2 6 25.6 Clustering for N = 2 2 2 2 2 2 2 2 2 2 2 2 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 3 1 0 2 76.4 1 0 0.0 2 6 20.6 3 5 16.9 11 3 3 0 2 40.7 1 5 13.9 2 0 0.0 3 6 20.8 11 3 4 0 2 68.3 1 4 24.8 2 3 24.0 3 4 19.6 11 3 5 0 0 79.2 1 4 29.3 2 3 15.7 3 4 34.2 11 3 6 0 1 37.5 1 0 0.0 2 0 0.0 3 11 19.5 11 3 7 0 3 77.8 1 4 20.4 2 4 33.8 3 3 23.7 11 3 8 0 2 39.8 1 5 11.0 2 0 0.0 3 6 20.8 11 3 10 0 0 72.0 1 4 31.2 2 4 25.5 3 3 15.3 11 3 12 0 3 65.7 1 3 19.7 2 3 23.3 3 5 22.7 11 3 13 0 2 63.2 1 3 15.0 2 5 27.7 3 3 20.5 11 3 14 0 1 66.8 1 4 25.8 2 4 29.2 3 3 11.8 11 3 15 0 0 54.0 1 4 12.7 2 3 13.7 3 4 27.7 11 3 17 0 2 69.7 1 0 0.0 2 5 10.7 3 6 20.0 11 3 18 0 1 70.0 1 0 0.0 2 7 19.3 3 4 11.7 11 3 19 0 1 77.1 1 3 22.7 2 3 24.8 3 5 29.6 Clustering for N = 3 3 3 3 3 3 3 3 3 3 3 3 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 4 5 0 1 59.0 1 5 22.6 2 0 0.0 3 3 16.3 4 3 16.2 11 4 6 0 1 72.1 1 4 16.7 2 4 16.4 3 3 14.0 4 0 0.0 11 4 8 0 2 53.9 1 0 0.0 2 6 17.0 3 5 12.8 4 0 0.0 11 4 9 0 2 80.9 1 4 27.8 2 3 12.7 3 0 0.0 4 4 17.4 11 4 11 0 2 49.2 1 0 0.0 2 3 11.0 3 3 11.2 4 5 22.1 11 4 14 0 1 88.4 1 0 0.0 2 3 9.8 3 5 25.4 4 3 17.2 11 4 15 0 2 49.8 1 1 0.0 2 0 0.0 3 6 13.7 4 4 11.6 Clustering for N = 4 4 2 3 3 4 3 4 2 2 4 4 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E 11 5 9 0 4 72.0 1 0 0.0 2 4 13.2 3 3 12.5 4 0 0.0 5 4 11.2 11 5 16 0 2 73.9 1 0 0.0 2 0 0.0 3 5 12.8 4 3 11.8 5 3 7.2 11 5 17 0 2 59.0 1 1 0.0 2 1 0.0 3 4 6.2 4 0 0.0 5 5 13.8 Clustering for N = 5 3 3 5 5 1 5 5 3 3 5 2 M N NR IFLAG IT D J MJ E J MJ E J MJ E J MJ E Clustering for N = 6 3 3 5 5 1 5 5 3 3 5 2 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 12 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 2 7 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 3 11 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+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 6 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 6 7 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 7 4 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 8 7 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 9 6 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 10 12 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 11 6 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 12 12 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 13 13 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 14 12 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 15 8 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 16 6 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 17 12 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 18 7 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 96 4 2 4 19 5 0.916588E+08 1 47 0.358991E+08 2 49 0.557596E+08 96 4 2 4 20 11 0.916588E+08 1 49 0.557596E+08 2 47 0.358991E+08 Clustering for N = 2 2 2 2 2 2 2 2 1 2 2 2 2 1 2 2 2 2 2 2 2 2 2 2 2 2 1 2 1 2 2 2 2 1 2 2 1 2 1 1 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 1 2 1 2 2 2 2 1 1 2 2 2 2 1 1 1 Cluster coefficients: 1 1.16557 2.04943 50.4124 3.17250 2 61.9990 7.67001 -.691724 -9.41264 M S N M0 NR IT D J MJ E J MJ E J MJ E J MJ E 96 4 3 4 1 3 3277.83 1 48 1332.73 2 16 280.536 3 32 1664.57 96 4 3 4 2 4 3277.83 1 16 280.536 2 32 1664.57 3 48 1332.73 96 4 3 4 3 5 3277.83 1 32 1664.57 2 48 1332.73 3 16 280.536 96 4 3 4 4 4 3277.83 1 32 1664.57 2 16 280.536 3 48 1332.73 96 4 3 4 5 4 3277.83 1 32 1664.57 2 16 280.536 3 48 1332.73 96 4 3 4 6 6 3277.83 1 16 280.536 2 32 1664.57 3 48 1332.73 96 4 3 4 7 6 3277.83 1 32 1664.57 2 48 1332.73 3 16 280.536 96 4 3 4 8 4 3277.83 1 32 1664.57 2 48 1332.73 3 16 280.536 96 4 3 4 9 5 3277.83 1 32 1664.57 2 16 280.536 3 48 1332.73 96 4 3 4 10 7 0.353174E+08 1 16 0.306998E+07 2 36 0.307318E+08 3 44 0.151563E+07 96 4 3 4 11 4 3277.83 1 48 1332.73 2 32 1664.57 3 16 280.536 96 4 3 4 12 4 3277.83 1 32 1664.57 2 48 1332.73 3 16 280.536 96 4 3 4 13 5 3277.83 1 16 280.536 2 32 1664.57 3 48 1332.73 96 4 3 4 14 4 3277.83 1 32 1664.57 2 48 1332.73 3 16 280.536 96 4 3 4 15 7 0.353174E+08 1 16 0.306998E+07 2 44 0.151563E+07 3 36 0.307318E+08 96 4 3 4 16 5 3277.83 1 48 1332.73 2 16 280.536 3 32 1664.57 96 4 3 4 17 6 3277.83 1 48 1332.73 2 32 1664.57 3 16 280.536 96 4 3 4 18 4 3277.83 1 48 1332.73 2 32 1664.57 3 16 280.536 96 4 3 4 19 3 3277.83 1 32 1664.57 2 16 280.536 3 48 1332.73 96 4 3 4 20 3 3277.83 1 32 1664.57 2 48 1332.73 3 16 280.536 Clustering for N = 3 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 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 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 Cluster coefficients: 1 69.9584 -.967793 1.00415 -4.01691 2 1.05426 79.9407 3.01816 -60.0023 3 2.01669 1.01055 49.9589 .936244 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 4 -0.159682E-06 2 30 1625.73 3 47 1258.73 4 15 253.792 96 4 4 4 2 3 2897.04 1 15 279.992 2 46 1293.75 3 4 -0.626649E-06 4 31 1323.30 96 4 4 4 3 5 3113.93 1 4 0.541871E-06 2 13 120.574 3 32 1664.57 4 47 1328.79 96 4 4 4 4 6 0.456314E+08 1 18 0.694181E+07 2 21 0.577412E+07 3 25 0.187891E+08 4 32 0.141264E+08 96 4 4 4 5 3 3132.07 1 31 1601.96 2 47 1301.12 3 14 228.991 4 4 0.165797E-06 96 4 4 4 6 6 2072.34 1 16 280.536 2 16 334.798 3 48 1332.73 4 16 124.280 96 4 4 4 7 3 3176.72 1 4 0.201690E-07 2 30 1574.66 3 46 1321.52 4 16 280.536 96 4 4 4 8 4 3064.56 1 9 55.5684 2 48 1332.73 3 7 11.6963 4 32 1664.57 96 4 4 4 9 4 3231.12 1 4 -0.160886E-06 2 14 262.701 3 46 1303.84 4 32 1664.57 96 4 4 4 10 4 3086.95 1 43 1155.29 2 6 5.45438 3 15 261.637 4 32 1664.57 96 4 4 4 11 4 3194.47 1 13 235.108 2 47 1294.79 3 4 0.622845E-05 4 32 1664.57 96 4 4 4 12 3 2975.00 1 30 1471.84 2 4 0.305898E-06 3 47 1315.80 4 15 187.364 96 4 4 4 13 4 3041.70 1 10 8.86725 2 48 1332.73 3 31 1664.52 4 7 35.5917 96 4 4 4 14 4 3041.70 1 10 8.86725 2 31 1664.52 3 48 1332.73 4 7 35.5917 96 4 4 4 15 4 2664.38 1 32 1664.57 2 12 127.613 3 15 261.637 4 37 610.562 96 4 4 4 16 9 2343.65 1 23 191.946 2 32 1664.57 3 16 280.536 4 25 206.596 96 4 4 4 17 3 3229.41 1 13 232.492 2 32 1664.57 3 47 1332.35 4 4 0.898726E-07 96 4 4 4 18 5 3158.58 1 32 1664.57 2 14 205.076 3 46 1288.93 4 4 0.545261E-06 96 4 4 4 19 3 3116.43 1 47 1301.12 2 13 150.735 3 32 1664.57 4 4 -0.426740E-06 96 4 4 4 20 5 3146.34 1 31 1588.70 2 15 243.501 3 4 -0.117863E-06 4 46 1314.14 Clustering for N = 4 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 2 4 2 2 2 4 2 4 4 4 2 4 2 2 4 4 2 2 4 2 2 2 4 2 4 2 4 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 2.03089 1.01299 49.9493 .988721 3 69.9584 -.967793 1.00415 -4.01691 4 2.01443 .991063 49.9533 .887873 M S N M0 NR IT D J MJ E J MJ E J MJ E J MJ E 96 4 5 4 1 5 2992.65 1 42 1123.50 2 31 1588.70 3 15 280.449 4 4 0.121750E-06 5 4 0.156579E-07 96 4 5 4 2 7 3074.68 1 9 146.243 2 5 0.622086E-02 3 31 1598.13 4 47 1330.30 5 4 -0.120293E-06 96 4 5 4 3 3 3092.28 1 32 1664.57 2 12 228.397 3 44 1199.32 4 4 0.102590E-04 5 4 -0.622822E-06 96 4 5 4 4 3 3083.88 1 12 194.069 2 4 0.667708E-07 3 4 0.209629E-06 4 46 1328.83 5 30 1560.98 96 4 5 4 5 5 1969.58 1 13 189.236 2 19 257.505 3 47 1308.93 4 13 213.914 5 4 0.417349E-07 96 4 5 4 6 5 2623.73 1 4 -0.276779E-07 2 4 0.524565E-07 3 13 189.535 4 30 1214.65 5 45 1219.54 96 4 5 4 7 4 2923.34 1 30 1526.49 2 43 1121.54 3 15 275.315 4 4 0.442374E-06 5 4 -0.109919E-06 96 4 5 4 8 4 3132.31 1 32 1664.57 2 46 1308.45 3 4 0.236260E-06 4 4 0.348082E-06 5 10 159.288 96 4 5 4 9 5 3061.58 1 4 0.309663E-06 2 14 279.309 3 4 -0.202594E-07 4 30 1564.45 5 44 1217.83 96 4 5 4 10 3 3017.03 1 13 213.484 2 4 0.654987E-07 3 46 1280.43 4 29 1523.12 5 4 0.823338E-07 96 4 5 4 11 5 2841.95 1 46 1188.17 2 4 -0.976260E-07 3 5 7.73274 4 30 1568.29 5 11 77.7493 96 4 5 4 12 6 0.272745E+08 1 14 0.324703E+07 2 21 0.677844E+07 3 19 0.574623E+07 4 14 0.182432E+07 5 28 0.967852E+07 96 4 5 4 13 4 2816.48 1 4 0.620248E-07 2 4 -0.177824E-07 3 28 1388.66 4 12 95.0962 5 48 1332.73 96 4 5 4 14 4 2869.96 1 28 1360.62 2 47 1330.30 3 12 178.645 4 4 0.315458E-07 5 5 .400733 96 4 5 4 15 6 2853.97 1 29 1448.41 2 4 -0.175927E-07 3 46 1176.51 4 4 -0.494765E-09 5 13 229.049 96 4 5 4 16 6 2823.64 1 12 192.209 2 30 1536.32 3 5 .695361 4 6 1.81594 5 43 1092.60 96 4 5 4 17 9 2719.80 1 42 858.829 2 5 0.378689E-02 3 32 1664.57 4 12 177.106 5 5 19.2895 96 4 5 4 18 4 2830.91 1 5 0.318929E-02 2 8 21.6564 3 47 1267.24 4 5 0.543427E-01 5 31 1541.96 96 4 5 4 19 5 2923.33 1 4 -0.232330E-07 2 30 1525.64 3 46 1315.11 4 5 11.0014 5 11 71.5860 96 4 5 4 20 5 2983.16 1 46 1285.03 2 7 13.7252 3 4 -0.902801E-07 4 32 1664.57 5 7 19.8319 Clustering for N = 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 5 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 2 2 2 2 2 2 1 1 1 2 1 2 2 2 1 2 1 2 2 2 1 1 2 1 1 1 2 2 2 1 2 1 5 4 4 5 4 4 4 4 5 4 4 4 4 4 4 4 Cluster coefficients: 1 2.01328 1.01832 49.9913 1.00884 2 2.00582 .988088 49.9732 .924619 3 69.9619 -.971085 1.00189 -4.01770 4 1.04066 79.9423 3.04293 -60.0100 5 15.6756 30.6395 16.4688 -28.0606 SPAETH_PRB Normal end of execution. May 18 2007 4:44:55.045 AM