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Table 6 Friedman test ranking result for comparing MOC-GaPBK algorithm with other state of the art single and multi objective clustering techniques

From: A multi-objective gene clustering algorithm guided by apriori biological knowledge with intensification and diversification strategies

Dataset MOC-GaPBK Semi-FeaClust MO fuzzy MOGA SOM Avg. link.
Arabidopsis 0.49 (1) 0.46 (2) 0.41 (3) 0.40 (4) 0.23 (6) 0.32 (5)
Cell cycle 0.63 (1) 0.50 (2) 0.43 (4) 0.42 (5) 0.38 (6) 0.44 (3)
Sporulation 0.80 (1) 0.70 (2) 0.59 (3) 0.58 (4) 0.58 (4) 0.50 (6)
Serum 0.58 (1) 0.44 (2) 0.40 (3) 0.38 (4) 0.34 (6) 0.36 (5)
Avg. rank (1) (2) (3.25) (4.25) (5.5) (4.75)
  1. In brackets we show the ranking of the algorithm. Last row shows the average ranking of each algorithm