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Table 6 The comparative results of our proposed feature selection based sample clustering technique with other existing techniques

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

Data set Number of genes Algorithms %CoA
Yeast 10 Proposed(PAM+AMOSA) 95.63
  15 CLARANS+k-NN 86.78
   CLARANS+C4.5 94.12
   CLARANS+RF 94.12
   CLARANS+MLP 94.12
   CLARANS+NB 94.12
Multiple tissues 40 Proposed(PAM+AMOSA) 92.14
  42 CLARANS+k-NN 81.03
   CLARANS+C4.5 65.0
   CLARANS+RF 76.0
   CLARANS+MLP 89.32
   CLARANS+NB 92.23
  1. The obtained optimal (maximum) Classification accuracy (%CoA) for both datasets are represented in bold font