Hybrid Fuzzy Clustering Method Based on FCM and Enhanced Logarithmical PSO (ELPSO)

Table 6

Standard deviation for criterion J (best results are highlighted in bold).

Datasets	GA-FCM	FCM-SPSO	FCM-LPSO	FCM-EPSO	FCM-RPSO	FCM-ELPSO
Ecoli	0.0301	0.0297	0.0223	0.0245	0.0273	0.0272
Glass	2.8639	1.7319	2.4125	1.8354	2.0823	1.1018
Image segmentation	1.7584e + 05	7.2663e + 04	1.7584e + 05	1.4599e + 05	1.5925e + 05	2.7719e + 05
Page blocks classification	1.2927e + 09	1.3478e + 09	7.8227e + 08	1.4926e + 09	1.0365e + 09	4.6222e + 08
Spectf	1.4432e + 03	912.4835	1.9985e + 03	1.5790e + 03	1.6325e + 03	261.1258
Steel plates faults	3.6258e + 13	1.7151e + 13	3.8546e + 13	2.4850e + 13	3.4818e + 13	2.3890e + 13
Ultrasonic flowmeter diagnostics	3.9146e + 06	5.1001e + 06	3.4344e + 06	4.2497e + 06	3.7826e + 06	1.0618e + 06
Yeast	0.0472	0.0443	0.0627	0.0596	0.0705	0.0065