A Novel Minimum Spanning Tree Clustering Algorithm Based on Density Core

Table 5

Parameter setting of each clustering algorithm in six real-world datasets.

Datasets	Kmeans	DBSCAN	DPC (%)	DCore	SNNDPC	LDP-MST	MST-DC
Segmentation	N = 7	Eps = 10; Minpts = 4	dc = 2	r1 = 150; r2 = 140; R = 150; T1 = 30; Tn = 10	K = 15	N = 7
Pageblock	N = 5	Eps = 1; Minpts = 4	dc = 2	r1 = 0.2; r2 = 0.15; R = 0.2; T1 = 10; Tn = 2	K = 10	N = 5
Iris	N = 3	Eps = 1; Minpts = 4	dc = 2	r1 = 0.3; r2 = 0.2; R = 0.15; T1 = 5; Tn = 4	K = 10	N = 3
Control	N = 6	Eps = 1; Minpts = 4	dc = 2	r1 = 15; r2 = 13; R = 16; T1 = 10; Tn = 2	K = 8	N = 6
Column2C	N = 2	Eps = 11; Minpts = 5	dc = 2	r1 = 13; r2 = 12; R = 16; T1 = 20; Tn = 15	K = 3	N = 2
Breast	N = 2	Eps = 1; Minpts = 4	dc = 2	r1 = 0.4; r2 = 0.3; R = 0.15; T1 = 2; Tn = 0	k = 7	N = 2