An RBF Neural Network Clustering Algorithm Based on K-Nearest Neighbor

Table 3

Comparison of evaluation indicators V-measure of different algorithms.

	K-means	KNN + DPC	VaDE	DCN	SpectralNet	RBF-KNN
Aggregate	0.4940	1.0	0.5261	0.5620	0.9497	1.0
Jain	0.3690	0.5335	0.2024	0.4587	0.4606	0.7075
Flame	0.3987	0.8865	0.3453	0.4025	0.4595	0.8993
Spiral	0.0268	1.0	0.0406	0.3872	0.3194	1.0
Target	0.2931	0.4655	0.7335	0.4982	0.7917	1.0
Ecoli	0.6409	0.5311	0.2664	0.6130	0.6241	0.6855
Iris	0.7581	0.6182	0.2645	0.7381	0.7660	0.7943
Seeds	0.6992	0.5884	0.2629	0.7200	0.5073	0.7165
Soybean	0.7157	0.7672	0.3872	0.6820	0.2992	0.9457
Segment	0.6040	0.3740	0.2024	0.6135	0.0995	0.6244