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Table 5 Summary of results for the fastest measures on the Benchmark 1 datasets

From: Speeding up the Consensus Clustering methodology for microarray data analysis

  Precision Timing
  CNS Rat Leukemia NCI60 Lymphoma Yeast CNS Rat Leukemia NCI60 Lymphoma
WCSS-K-means-C 8 1.7 × 103 1.3 × 103 5.0 × 103 4.0 × 103
WCSS-R-R0 1.2 × 103 8.0 × 102 4.1 × 103 3.0 × 103
G-Gap-K-means-R 4 2.4 × 103 2.0 × 103 8.3 × 104 8.4 × 103
G-Gap-R-R5 2 1.2 × 103 8.0 × 102 4.5 × 104 3.2 × 103
FOM-K-means-C 8 1.9 × 104 9.4 × 104 5.5 × 105 2.6 × 105
FOM-K-means-S 8 2.9 × 104 1.0 × 105 7.1 × 105 3.6 × 105
FOM-R-R5 5 3.9 × 103 3.7 × 104 2.1 × 105 7.6 × 104
FOM-Hier-A 6 1.6 × 103 7.5 × 103 5.1 × 104 1.8 × 104
DIFF-FOM-K-means-C 3 1.9 × 104 9.4 × 104 5.5 × 105 2.6 × 105
FC-Hier-A 5.9 × 104 2.7 × 104 7.0 × 104 6.8 × 104
FC-Hier-C 5 5.9 × 104 2.7 × 104 6.5 × 104 6.7 × 104
Gold solution 6 3 8 3 5 - - - -
  1. A summary of the best performing measures taken from the benchmarking of Giancarlo et al., with the addition of FC, with H = 250 and p = 80%. The table legend is as in Table 1. Consistent with that study, we report only the timing results for CNS Rat, Leukemia, NCI60 and Lymphoma, since for the Yeast and PBM datasets the experiments have been performed on a computer other than the AMD Athlon.