Application of Clustering-Based Analysis in MRI Brain Tissue Segmentation

Table 1

Quantitative results of different algorithms.

Images	Indexes	Clustering models
		K-means	FCM	MEC	GMM	HC	Mean-shift
1	RI	0.8899	0.8914	0.8898	0.8855	0.8569	0.8976
	NMI	0.7131	0.715	0.7135	0.7059	0.6421	0.7289
2	RI	0.8889	0.8911	0.8878	0.8851	0.8834	0.8947
	NMI	0.7107	0.7147	0.7091	0.7049	0.6944	0.691
3	RI	0.8915	0.894	0.8915	0.8873	0.878	0.9023
	NMI	0.7163	0.7202	0.7162	0.7099	0.6993	0.7108
4	RI	0.896	0.898	0.896	0.8917	0.8783	0.9062
	NMI	0.7262	0.7292	0.7262	0.7188	0.6792	0.7228
5	RI	0.8983	0.9007	0.8984	0.896	0.9003	0.9143
	NMI	0.731	0.7355	0.731	0.7283	0.7133	0.7373
6	RI	0.9012	0.9026	0.9012	0.8971	0.896	0.9039
	NMI	0.7371	0.7399	0.7371	0.7307	0.7184	0.7412
7	RI	0.9005	0.9017	0.9005	0.8951	0.8992	0.9071
	NMI	0.732	0.7339	0.732	0.7238	0.7062	0.7446
8	RI	0.902	0.9031	0.902	0.895	0.8923	0.9148
	NMI	0.7362	0.7375	0.7362	0.7234	0.7125	0.7061
9	RI	0.9028	0.9052	0.9028	0.8964	0.901	0.9137
	NMI	0.7391	0.7423	0.7391	0.7291	0.7342	0.7369
10	RI	0.9039	0.9053	0.9039	0.8959	0.8931	0.912
	NMI	0.7418	0.7439	0.7418	0.7288	0.7245	0.7569
Average	RI-mean	0.8975	0.89931	0.89739	0.89251	0.88785	0.90666
	RI-std	0.005316	0.005131	0.005516	0.004524	0.0131775	0.00674436
	NMI-mean	0.72835	0.73121	0.72822	0.72036	0.70241	0.72765
	NMI-std	0.010719	0.010418	0.010946	0.009479	0.024977688	0.01903099