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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.