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

Table 5

Comparison of evaluation indicators NMI of different algorithms.

	K-means	KNN + DPC	VaDE	DCN	SpectralNet	RBF-KNN
Aggregate	0.4941	1.0	0.5282	0.3286	0.9498	1.0
Jain	0.3690	0.3034	0.2024	0.4265	0.4607	0.7075
Flame	0.3987	0.7628	0.3454	0.3255	0.4595	0.8993
Spiral	0.0267	1.0	0.0456	0.1153	0.2974	1.0
Target	0.2931	0.4726	0.2098	0.2656	0.8217	1.0
Ecoli	0.6440	0.5312	0.2663	0.5568	0.6307	0.6856
Iris	0.7582	0.6258	0.2657	0.7265	0.7661	0.7857
Seeds	0.6949	0.5884	0.2629	0.7024	0.5079	0.7124
Soybean	0.7158	0.8489	0.3581	0.6526	0.3057	0.9435
Segment	0.6048	0.4000	0.2831	0.5663	0.1427	0.6875