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Table 3 Results for G-Gap

From: Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistics and Model Explorer

  Precision Timing
  CNS Rat Leukemia NCI60 Lymphoma Yeast PBM CNS Rat Leukemia NCI60 Limphoma
K-means-R 4 5 2.4 × 103 2.0 × 103 8.3 × 103 8.4 × 103
K-means-A 4 1 4 2.3 × 103 1.3 × 103 5.3 × 103 5.8 × 103
K-means-C 2 8 5 1.7 × 103 1.3 × 103 5.0 × 103 4.0 × 103
K-means-S 3 1 1 1 1 2.6 × 103 1.6 × 103 7.3 × 103 7.4 × 103
R-R0 2 7 2 4 1.2 × 103 8.0 × 102 4.0 × 103 3.0 × 103
R-R5 2 6 1.2 × 103 8.0 × 102 4.5 × 103 3.2 × 103
R-R2 3 2 6 1.3 × 103 8.0 × 102 5.2 × 103 3.2 × 103
Hier-A 1 3 1 1.1 × 103 4.0 × 102 2.0 × 103 1.9 × 103
Hier-C 2 7 4 7.0 × 102 4.0 × 102 1.7 × 103 1.4 × 103
Hier-S 1 1 1 5 2.6 × 103 6.0 × 102 3.2 × 103 3.8 × 103
Gold solution 6 3 8 3 5 18 - - - -
  1. A summary of the results of G-Gap, on all algorithms and on all datasets. The columns under the label precision indicate the number of clusters predicted by the measure, while the remaining four indicate the timing in milliseconds for the execution of the corresponding experiment.