A Density Peak Clustering Algorithm Based on the K-Nearest Shannon Entropy and Tissue-Like P System

Table 4

Results on the real-world datasets.

Algorithm	Par	C1	Acc	NMI	Algorithm	Par	C1	Acc	NMI
Vertebral					Seeds
KST-DPC	9	2	0.6806	0.0313	KST-DPC	4	3	0.8429	0.6574
DPC-KNN	9	2	0.6806	0.0821	DPC-KNN	6	3	0.8143	0.6252
DBSCAN	7/48	2	0.6742	- -	DBSCAN	0.92/7	3	0.5857	0.4835
SC	2	2	- -	- -	SC	3	3	0.6071	0.5987
Breast cancer					Banknotes
KST-DPC	70	2	0.8624	0.4106	KST-DPC	68	2	0.8434	0.7236
DPC-KNN	76	2	0.7954	0.3154	DPC-KNN	82	2	0.7340	0.3311
DBSCAN	6/20	2	0.6552	0.0872	DBSCAN	6.5/5	2	0.5554	6.7210e-16
SC	2	2	- -	- -	SC	2	2	0.6152	0.0598