Table 2. Computational times and time based performance improvement for ten clustering algorithms.

Algorithm	Method	Computational Time (Seconds)
		D1, PCA	D1, WAV	D2, PCA	D2, WAV	D3, PCA	D3, WAV
Meanshift	Proposed	0.3	0.02	0.43	0.13	0.11	0.03
	Conventional	0.36	0.04	0.76	0.16	0.15	0.06
	Time Saved (%)	17.25	60.59	43.69	17.81	23.88	46.63
DBSCAN	Proposed	0.75	1.6	3.26	0.54	8.76	3.84
	Conventional	1.82	4.81	8.37	1.3	48.63	21.09
	Time Saved (%)	58.6	66.64	61.02	58.71	81.98	81.77
Kmeans	Proposed	0.04	0	0.01	0	0.04	0.03
	Conventional	0.28	0.03	0.03	0.01	0.09	0.05
	Time Saved (%)	84	84.7	73.2	55.14	52.55	32.59
Kmedoids	Proposed	0.32	0.1	0.17	0.14	1.37	1.31
	Conventional	1.14	0.36	0.33	0.41	1.38	1.85
	Time Saved (%)	72.39	72.2	47.67	65.99	1.19	29.26
VBGMM	Proposed	0.3	0.25	0.6	0.4	1.91	1.05
	Conventional	0.44	0.51	0.75	0.63	3.9	2.57
	Time Saved (%)	31.17	50.85	19.46	37.15	51.02	59.35
EMGMM	Proposed	0.43	0.32	1.2	0.46	3.39	3.07
	Conventional	0.46	0.62	1.76	0.58	3.71	4.29
	Time Saved (%)	6.83	48.56	32.06	21.17	8.78	28.5
Agglomerative	Proposed	0.18	0.07	0.06	0.06	0.2	0.2
	Conventional	0.18	0.15	0.15	0.14	1.14	1.04
	Time Saved (%)	2.55	54.23	59.75	58.61	82.92	80.46
OPTICS	Proposed	1.11	0.44	0.42	0.43	1.72	1.72
	Conventional	1.14	1.08	1.02	1.05	7.27	7.18
	Time Saved (%)	2.35	59.15	58.56	59.37	76.34	76.07
BIRCH	Proposed	1.25	1.61	1.39	1.94	2.22	5.32
	Conventional	1.68	4.11	2.35	3.73	5.9	31.56
	Time Saved (%)	25.65	60.77	40.94	47.99	62.4	83.15
FCM	Proposed	0.01	0.03	0.01	0.05	0.02	0.41
	Conventional	0.08	0.05	0.02	0.06	0.05	0.59
	Time Saved (%)	81.92	49.8	54.26	13.51	65.12	29.43