Enhanced Connectivity Validity Measure Based on Outlier Detection for Multi-Objective Metaheuristic Data Clustering Algorithms

Table 4

The average and standard deviation^a of the obtained F-measure obtained by the competing algorithms.

Dataset	SPEA-II	eSPEA-II	NSGA-II	eNSGA-II
2d-20c-no0	0.208 (0.01)	0.547 (0.04)	0.57 (0.03)	0.551 (0.04)
CMC	0.598 (0.04)	0.59 (0.037)	0.583 (0.02)	0.583 (0.02)
Ecoli	0.783 (0.03)	0.824 (0.02)	0.853 (0.03)	0.858 (0.04)
Elly-2d10c13s	0.310 (0.01)	0.556 (0.04)	0.580 (0.05)	0.581 (0.04)
Engytime	0.645 (0.02)	0.958 (0.10)	0.957 (0.10)	0.957 (0.08)
Flame	0.864 (0.07)	0.864 (0.05)	0.877 (0.05)	0.877 (0.06)
Iris	0.887 (0.02)	0.826 (0.01)	0.857 (0.01)	0.863 (0.01)
Seeds	0.867 (0.02)	0.880 (0.04)	0.876 (0.02)	0.876 (0.02)
Sizes5	0.869 (0.01)	0.87 (0.026)	0.901 (0.03)	0.865 (0.02)
Soybean-small	0.979 (0.06)	0.94 (0.063)	0.957 (0.06)	0.875 (0.06)
Spherical_5_2	0.848 (0.07)	0.885 (0.07)	0.888 (0.08)	0.888 (0.07)
Square1	0.605 (0.03)	0.978 (0.08)	0.940 (0.06)	0.972 (0.06)
Thyroid	0.868 (0.01)	0.868 (0.01)	0.861 (0.01)	0.881 (0.01)

^aThe result shows the average F-measure and the results’ standard deviation in brackets.