Social Spider Optimization Algorithm: Modifications, Applications, and Perspectives

Table 6

Comparison results among four different clustering data sets.

		k-means	ABC	CLSPSO	DE	FPA	SSO	SMSSO
AD1	Best	1747.3859	1755.2637	1878.5902	1718.4562	1938.5000	1718.2848	1718.2537
	Med	1991.9351	1882.2013	2870.8968	2007.6000	2161.0000	1418.2848	1718.2537
	STD	3.4229E+02	1.0475E+02	5.5367E+02	3.3982E+02	1.4448E+02	2.3328E-13	0E+00
AD2	Best	525.5957	515.2971	513.9034	513.9036	520.4449	514.0804	513.9034
	Med	694.4421	517.9773	658.2596	514.3841	536.4305	514.0804	513.9034
	STD	1.9148E+02	1.8902E+00	1.8287E+02	1.9550E+01	1.2070E+01	0E+00	1.1664E-13
Iris	Best	97.1901	97.0001	96.6581	96.6561	97.9097	96.9848	96.6555
	Med	100.8866	97.9254	108.4708	97.1050	100.0673	96.9848	96.6555
	STD	8.7805E+00	9.7925E+01	1.4706E+01	3.6310E-01	1.7105E+00	2.4580E-14	1.9160E-14
TAE	Best	1504.9535	1495.7590	1493.9386	1492.1000	1493.6000	1525.7349	1490.9258
	Med	1529.6406	1500.1544	1527.6483	1518.8000	1498.8000	1525.7349	1490.9258
	STD	2.9749E+01	4.7872E+00	2.8105E+01	1.9777E+01	3.1373E+00	4.6656E-13	3.6656E-13