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Table 1 Summary of the cancer benchmark data employed in our evaluation.

From: On the selection of appropriate distances for gene expression data clustering

 

Name

nc

no

nf

 

armstrong-v1

2

72

1081

 

chowdary

2

104

182

 

golub-v1

2

72

1877

 

gordon

2

181

1626

 

laiho

2

37

2202

Affymetrix

nutt-v2

2

28

1070

 

nutt-v3

2

22

1152

 

pomeroy-v1

2

34

857

 

shipp

2

77

798

 

singh

2

102

339

 

west

2

49

1198

 

yeoh-v1

2

248

2526

 

armstrong-v2

3

72

2194

 

dyrskjot

3

40

1203

 

golub-v2

3

72

1877

 

nutt-v1

4

50

1377

 

bhattacharjee

5

203

1543

 

pomeroy-v2

5

42

1379

 

yeoh-v2

6

248

2526

 

su

10

174

1571

 

ramaswamy

14

190

1363

 

alizadeh-v1

2

42

1095

cDNA

chen

2

180

85

 

bittner

2

38

2201

 

bredel

3

50

1739

 

lapointe-v1

3

69

1625

 

liang

3

37

1411

 

alizadeh-v2

3

62

2093

 

tomlins-v2

4

92

1288

 

alizadeh-v3

4

62

2093

 

garber

4

66

4553

 

khan

4

83

1069

 

lapointe-v2

4

110

2496

 

risinger

4

42

1771

 

tomlins-v1

5

104

2315

  1. Columns display name of the data, number of clusters (nc), number of objects (no) and, number of features (nf ), respectively.