| /dports/devel/p5-Algorithm-Cluster/Algorithm-Cluster-1.59/perl/examples/ |
| H A D | ex6_clusterdistance | 55 $distance = Algorithm::Cluster::clusterdistance(
66 $distance = Algorithm::Cluster::clusterdistance(
77 $distance = Algorithm::Cluster::clusterdistance(
88 $distance = Algorithm::Cluster::clusterdistance(
99 $distance = Algorithm::Cluster::clusterdistance(
110 $distance = Algorithm::Cluster::clusterdistance(
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| /dports/devel/p5-Algorithm-Cluster/Algorithm-Cluster-1.59/perl/t/ |
| H A D | 11_clusterdistance.t | 95 $distance = Algorithm::Cluster::clusterdistance(%params);
100 $distance = Algorithm::Cluster::clusterdistance(%params);
105 $distance = Algorithm::Cluster::clusterdistance(%params);
121 $distance = Algorithm::Cluster::clusterdistance(%params);
126 $distance = Algorithm::Cluster::clusterdistance(%params);
131 $distance = Algorithm::Cluster::clusterdistance(%params);
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| /dports/biology/py-biopython/biopython-1.79/Tests/ |
| H A D | test_Cluster.py | 757 clusterdistance(
769 clusterdistance(
781 clusterdistance(
793 clusterdistance(
805 clusterdistance(
817 clusterdistance(
829 clusterdistance(
841 clusterdistance(
853 clusterdistance(
865 clusterdistance(
[all …]
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| /dports/science/afni/afni-AFNI_21.3.16/src/avovk/ |
| H A D | cluster_doubleNOMASK.h | 47 double CALL clusterdistance (int nrows, int ncolumns, double** data,
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| H A D | cluster_floatNOMASK.h | 48 float CALL clusterdistance (int nrows, int ncolumns, float** data,
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| H A D | cluster.h | 47 double CALL clusterdistance (int nrows, int ncolumns, double** data, int** mask,
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| H A D | thd_segtools.c | 557 clusterdistance(nrows, ncols, data, mask, weight, count[0], count[1], in example_kmeans()
561 clusterdistance(nrows, ncols, data, mask, weight, count[0], count[2], in example_kmeans()
565 clusterdistance(nrows, ncols, data, mask, weight, count[1], count[2], in example_kmeans()
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| H A D | Aclustering_NOMASK.c | 450 …distance = clusterdistance(nrows, ncols, data, weight, count[i], count[j], index[i], index[j], 'e'… in example_kmeans()
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| H A D | Aclustering_floatNOMASK.c | 507 …distance = clusterdistance(nrows, ncols, data, weight, count[i], count[j], index[i], index[j], 'e'… in example_kmeans()
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| H A D | Aclustering.c | 492 …distance = clusterdistance(nrows, ncols, data, mask, weight, count[i], count[j], index[i], index[j… in example_kmeans()
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| H A D | thd_segtools_fNM.c | 928 distance = clusterdistance(nrows, ncols, data, in example_kmeans()
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| H A D | cluster_doubleNOMASK.c | 3519 double CALL clusterdistance (int nrows, int ncolumns, double** data, in clusterdistance() function
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| H A D | cluster_floatNOMASK.c | 3578 float CALL clusterdistance (int nrows, int ncolumns, float** data, in clusterdistance() function
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| H A D | cluster.c | 3901 double CALL clusterdistance (int nrows, int ncolumns, double** data, in clusterdistance() function
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| /dports/biology/py-biopython/biopython-1.79/Bio/Cluster/ |
| H A D | __init__.py | 415 def clusterdistance( function
468 return _cluster.clusterdistance(
919 def clusterdistance( member in Record
960 return clusterdistance(
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| H A D | cluster.h | 40 double clusterdistance(int nrows, int ncolumns, double** data, int** mask,
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| H A D | clustermodule.c | 1953 distance = clusterdistance(nrows, in py_clusterdistance()
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| H A D | cluster.c | 4687 clusterdistance(int nrows, int ncolumns, double** data, int** mask, in clusterdistance() function
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| /dports/devel/p5-Algorithm-Cluster/Algorithm-Cluster-1.59/src/ |
| H A D | cluster.h | 40 double clusterdistance(int nrows, int ncolumns, double** data, int** mask,
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| H A D | cluster.c | 4501 clusterdistance(int nrows, int ncolumns, double** data, int** mask, in clusterdistance() function
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| /dports/devel/p5-Algorithm-Cluster/Algorithm-Cluster-1.59/perl/ |
| H A D | Record.pm | 199 sub clusterdistance { subroutine
219 return Algorithm::Cluster::clusterdistance(%param);
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| H A D | Cluster.pm | 479 sub clusterdistance { subroutine
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| H A D | Cluster.xs | 1511 distance = clusterdistance(
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| /dports/biology/py-biopython/biopython-1.79/Doc/Tutorial/ |
| H A D | chapter_cluster.tex | 252 >>> from Bio.Cluster import clusterdistance
253 >>> distance = clusterdistance(data)
826 >>> distance = record.clusterdistance()
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