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Table 5 Comparative analysis of AMOSA based sample clustering outcomes with respect to three internal validity indices

From: Unsupervised gene selection using biological knowledge : application in sample clustering

Data set Genes(features) Samples Silho DB Dunn
Yeast 2884(Original) 17 0.2365 0.149 0.5268
  10(Reduced)   0.4531 0.081 0.9038
Multiple tissues 5565(original) 103 0.2527 0.998 0.6246
  40(Reduced)   0.4299 1.0065 1.432
  1. The obtained optimal values for Silhouette, DB and Dunn index for both datasets are represented in bold font