Clustering Ensemble Model Based on Self-Organizing Map Network

Table 5

The average performance of ten runs for each dataset measured by NMI.

	CO-Average	ONCE-Average	DSCE	ACE	DICLENS	MCLA	Cascaded SOM
Iris	0.751	0.752	0.763	0.766	0.757	0.749	0.757
Wine	0.428	0.428	0.432	0.429	0.427	0.429	0.434
Thyroid	0.434	0.473	0.480	0.531	0.501	0.418	0.492
Mfeatures	0.479	0.479	0.479	0.478	0.468	0.475	0.480
Glass	0.712	0.725	0.725	0.726	0.617	0.728	0.731
BCW	0.750	0.749	0.750	0.751	0.742	0.751	0.748
Soybean	0.717	0.723	0.756	0.712	0.822	0.717	0.785
Ionosphere	0.122	0.124	0.128	0.123	0.119	0.124	0.126

The bold values mean the best NMI value of the different algorithms for each dataset.