Comparative Analysis of the Performance of Complex Texture Clustering Driven by Computational Intelligence Methods Using Multiple Clustering Models

Table 3

Comparative analysis for normalized mutual information (NMI).

Images	Size	Cluster	FCM	FSC	GMM	MEC	Kmeans	Mean-shift
T21	100 × 100	2	0.76	0.85	0.88	0.85	0.86	0.52
T22	100 × 100	2	0.39	0.31	0.67	0.40	0.66	0.49
T31	100 × 100	3	0.56	0.70	0.74	0.55	0.53	0.55
T32	100 × 100	3	0.58	0.73	0.78	0.61	0.79	0.61
T41	100 × 100	4	0.34	0.74	0.75	0.51	0.71	0.64
D1	124 × 124	7	0.31	0.36	0.50	0.30	0.48	0.42
Z2	100 × 100	5	0.43	0.48	0.51	0.33	0.48	0.44
Z3	100 × 100	2	0.36	0.45	0.49	0.35	0.33	0.37
Z4	100 × 100	2	0.48	0.45	0.51	0.49	0.52	0.34
Z5	100 × 100	2	0.70	0.72	0.68	0.76	0.80	0.77