Clustering Ensemble Model Based on Self-Organizing Map Network

Table 4

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

	CO-Average	ONCE-Average	DSCE	ACE	DICLENS	MCLA	Cascaded SOM
Iris	0.725	0.726	0.732	0.734	0.680	0.723	0.725
Wine	0.369	0.369	0.377	0.371	0.369	0.372	0.380
Thyroid	0.559	0.584	0.609	0.613	0.582	0.563	0.592
Mfeatures	0.315	0.316	0.316	0.314	0.290	0.308	0.316
Glass	0.509	0.526	0.528	0.535	0.392	0.534	0.536
BCW	0.849	0.847	0.849	0.849	0.842	0.849	0.848
Soybean	0.547	0.550	0.578	0.532	0.632	0.548	0.572
Ionosphere	0.163	0.166	0.169	0.165	0.161	0.166	0.166

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