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Table 8 Results for DIFF-FOM

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 Lymphoma
K-means-R 4 4 3 4 2.9 × 104 1.9 × 105 1.3 × 106 6.7 × 105
K-means-A 3 6 3 8 2.2 × 104 9.3 × 104 5.5 × 105 2.7 × 105
K-means-C 3 5 1.9 × 104 9.4 × 104 5.5 × 105 2.6 × 105
K-means-S 12 8 3 10 2.9 × 104 1.0 × 105 7.1 × 105 3.6 × 105
R-R0 10 17 3 3 2.6 × 103 3.1 × 104 1.7 × 105 5.3 × 104
R-R5 4 11 3 4 3.9 × 103 3.7 × 104 2.1 × 105 7.6 × 104
R-R2 17 3 7 3.4 × 103 3.8 × 104 2.2 × 105 7.2 × 104
Hier-A 3 6 3 25 1.6 × 103 7.5 × 103 5.1 × 104 1.8 × 104
Hier-C 9 7 3 7 1.6 × 103 7.7 × 103 4.5 × 104 1.8 × 104
Hier-S 20 7 22 9 7 20 1.6 × 103 7.4 × 103 4.9 × 105 1.7 × 104
Gold solution 6 3 8 3 5 18 - - - -
  1. A summary of the results for DIFF-FOM on all algorithms and on all datasets. The columns under the label precision indicate the number of clusters predicted by DIFF-FOM, while the remaining four indicate the timing in milliseconds for the execution of the corresponding experiment. Cells with a dash indicate that DIFF-FOM did not give any useful indication.