Table 16. Comparative results for problems with no classes defined.

	USArrests: ( $4\times 50$)				Tripadvisor: ( $11\times 980$)
Algorithms	nc	Sil	time(s)	Par	nc	Sil	time(s)	Par
MulticlusterKDE	2	0.58	0.767	$\alpha =5$	6	0.52	6.193	$\alpha =5$
PdfCluster	1	–	0.06	–	17	0.0353	305.94	–
DBSCAN	8	0.43	0.001	23.7/1	8	0.54	0.001	4.6/8
K-means	2	0.59	0.01	2:10	2	0.62	0.031	2:10
K-medoids	2	0.59	0.016	2:10	2	0.62	0.172	2:10
CLARA	2	0.59	0.02	2:10	2	0.62	0.031	2:10
	Random 1: ( $4\times 1506$)				Random 2: ( $9\times 4084$)
MulticlusterKDE	2	0.75	5.88	$\alpha =5$	7	0.79	16.145	$\alpha =5$
PdfCluster	2	0.75	8.77	–	–	–	–	–
DBSCAN	2	0.75	0.02	1.2/1	8	0.78	0.172	2.3/5
K-means	2	0.75	0.049	2:10	6	0.76	0.74	2:10
K-medoids	2	0.75	0.31	2:10	7	0.78	9.052	2:10
CLARA	2	0.75	0.045	2:10	7	0.78	0.701	2:10
	Random 3: ( $4\times 4252$)				Random 4: ( $14\times 5845$)
MulticlusterKDE	6	0.54	3.88	$\alpha =5$	3	0.67	2.25	$\alpha =5$
PdfCluster	–	–	–	–	3	0.67	423.06	–
DBSCAN	5	0.49	0.1	1.7/5	4	0.67	0.031	7.8/5
K-means	3	0.50	0.365	2:10	3	0.67	0.047	2:10
K-medoids	6	0.56	11.718	2:10	3	0.67	0.225	2:10
CLARA	6	0.56	0.564	2:10	3	0.67	0.048	2:10
	Random 5: ( $38\times 3520$)				Random 6: ( $30\times 2072$)
MulticlusterKDE	14	0.83	10.1	$\alpha =5$	9	0.63	3.78	$\alpha =5$
PdfCluster	–	–	–	–	–	–	–	–
DBSCAN	15	0.83	0.128	5.7/5	10	0.63	0.185	10.2/5
K-means	18	0.64	2.167	2:20	8	0.57	0.373	2:20
K-medoids	14	0.83	16.72	2:20	9	0.63	2.379	2:20
CLARA	14	0.83	1.20	2:20	9	0.63	0.429	2:20
	Random 7: ( $20\times 6412$)				Random 8: ( $8\times 10351$)
MulticlusterKDE	4	0.74	9.44	$\alpha =5$	6	0.76	159	$\alpha =5$
PdfCluster	–	–	–	–	–	–	–	–
DBSCAN	4	0.74	0.80	3.5/5	6	0.76	1.90	2/3
K-means	4	0.74	0.74	2:10	6	0.76	2.95	2:10
K-medoids	4	0.74	11.02	2:10	6	0.76	56.17	2:10
CLARA	4	0.74	9.88	2:10	6	0.76	3.98	2:10