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

Table 4

Comparison of evaluation indicators ARI of different algorithms.

	K-means	KNN + DPC	VaDE	DCN	SpectralNet	RBF-KNN
Aggregate	0.3475	1.0	0.3289	0.3625	0.9231	1.0
Jain	0.3241	0.2784	−0.0044	0.4214	0.2165	0.7900
Flame	0.4534	0.6742	0.2895	0.4629	0.2507	0.9502
Spiral	0.0359	1.0	0.0548	0.0115	0.3094	1.0
Target	0.2931	0.4358	0.2192	0.1568	0.8219	1.0
Ecoli	0.6720	0.3884	0.0193	0.6892	0.6552	0.6855
Iris	0.7302	0.5178	0.0192	0.7125	0.7437	0.7566
Seeds	0.7166	0.5521	0.1845	0.7083	0.4134	0.7285
Soybean	0.5452	0.7672	0.3262	0.6726	0.0756	0.9256
Segment	0.4373	0.0346	0.0342	0.3240	0.0012	0.5256