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