Spectral Clustering Algorithm Based on Improved Gaussian Kernel Function and Beetle Antennae Search with Damping Factor

Table 3

Results of six algorithms on UCI data sets.

Data set	Evaluation indicators	K-means	NJW	MPSC	PGSC	SC-NP	SC-DBAS
Iris	Accuracy	0.8933	0.8933	0.9067	0.9000	0.8933	0.9600
	ARI	0.5516	0.6850	0.7583	0.8859	0.8797	0.9195
	F1 score	0.8918	0.8988	0.9057	0.8988	0.8918	0.9332
	Time (s)	0.2610	0.5164	0.5880	0.0669	0.7841	0.0553
Wine	Accuracy	0.6530	0.6742	0.5505	0.6067	0.6910	0.7247
	ARI	0.7943	0.8986	0.9310	0.5614	0.6938	0.7395
	F1 score	0.6363	0.6276	0.6057	0.6510	0.6531	0.7302
	Time (s)	0.2206	0.4845	0.4020	0.0443	0.9687	0.0638
Seeds	Accuracy	0.7008	0.7905	0.7194	0.8810	0.8905	0.9000
	ARI	0.7006	0.7022	0.6865	0.8594	0.8681	0.8787
	F1 score	0.8897	0.8150	0.8914	0.8813	0.8913	0.9092
	Time (s)	0.2195	0.4893	0.4641	0.0403	1.0381	0.0641
Zoo	Accuracy	0.6534	0.6337	0.8119	0.8713	0.8416	0.8713
	ARI	0.6359	0.7441	0.7758	0.8962	0.8994	0.9012
	F1 score	0.6319	0.8038	0.8389	0.8190	0.8045	0.8540
	Time (s)	0.2561	0.5035	0.2844	0.0555	0.9538	0.0608
Glass	Accuracy	0.7913	0.6542	0.8131	0.7897	0.8832	0.8598
	ARI	0.7375	0.5718	0.7767	0.8206	0.8552	0.8817
	F1 score	0.6812	0.5515	0.6872	0.7509	0.6973	0.7364
	Time (s)	0.2418	0.4335	0.5547	0.0512	0.9710	0.0712
Sonar	Accuracy	0.3942	0.3701	0.4346	0.5385	0.5337	0.5721
	ARI	0.0827	0.0022	0.1324	0.5006	0.4999	0.5080
	F1 score	0.4623	0.6119	0.5556	0.5370	0.5593	0.5716
	Time (s)	0.2422	0.5950	0.4181	0.0587	1.6458	0.0794
Ionosphere	Accuracy	0.3589	0.6182	0.7094	0.6410	0.6410	0.7379
	ARI	0.3240	0.4237	0.4772	0.4989	0.5253	0.6121
	F1 score	0.4149	0.6885	0.6902	0.6188	0.6817	0.7431
	Time (s)	0.2105	1.011	0.892	0.1354	2.8606	0.1108