A Clustering Approach Using Cooperative Artificial Bee Colony Algorithm

Table 2

Comparison of intracluster distances for the five clustering algorithms.

Data set	Criteria	CABC	ABC	PSO	CPSO	K-means
	Average	2.0607𝑒+003	2.0689𝑒+003	2.0758𝑒+003	2.0690𝑒+003	3.0123𝑒+003
Motor	Best	2.0606𝑒+003	2.0606𝑒+003	2.0606𝑒+003	2.0606𝑒+003	2.4463𝑒+003
cycle	Worst	2.0624𝑒+003	2.1267𝑒+003	2.2125𝑒+003	2.1103𝑒+003	4.6832𝑒+003
	Std	3.2158𝑒−001	1.9118𝑒+001	4.6354𝑒+001	1.3340𝑒+001	4.3906𝑒+002
Iris	Average	9.4603𝑒+001	9.4607𝑒+001	9.7526𝑒+001	9.5614𝑒+001	1.0605𝑒+002
	Best	9.4603𝑒+001	9.4603𝑒+001	9.4898𝑒+001	9.4603𝑒+001	9.7333𝑒+001
	Worst	9.4603𝑒+001	9.4644𝑒+001	1.1914𝑒+002	1.0493𝑒+002	1.2045𝑒+002
	Std	1.9767𝑒−009	7.7734𝑒−003	4.4576𝑒+000	1.9581𝑒+000	1.4631𝑒+001
Wine	Average	1.6294𝑒+004	1.6298𝑒+004	1.6372𝑒+004	1.6302𝑒+004	1.8061𝑒+004
	Best	1.6292𝑒+004	1.6294𝑒+004	1.6294𝑒+004	1.6292𝑒+004	1.6555𝑒+004
	Worst	1.6296𝑒+004	1.6302𝑒+004	1.6723𝑒+004	1.6384𝑒+004	1.8563𝑒+004
	Std	1.5466𝑒+001	6.2411𝑒+000	1.0718𝑒+002	1.8266𝑒+001	7.9321𝑒+002
CMC	Average	5.6938𝑒+003	5.6954𝑒+003	5.7293𝑒+003	5.6974𝑒+003	5.8936𝑒+003
	Best	5.6937𝑒+003	5.6939𝑒+003	5.6942𝑒+003	5.6938𝑒+003	5.8422𝑒+003
	Worst	5.6939𝑒+003	5.6986𝑒+003	5.8777𝑒+003	5.7107𝑒+003	5.9344𝑒+003
	Std	4.5501𝑒−002	1.3824𝑒+000	4.0245𝑒+001	4.0160𝑒+000	4.7165𝑒+001
Cancer	Average	2.9644𝑒+003	2.9644𝑒+003	2.9656𝑒+003	2.9650𝑒+003	3.2512𝑒+003
	Best	2.9644𝑒+003	2.9644𝑒+003	2.9644𝑒+003	2.9644𝑒+003	2.9991𝑒+003
	Worst	2.9644𝑒+003	2.9644𝑒+003	2.9726𝑒+003	2.9694𝑒+003	3.5215𝑒+003
	Std	1.8380𝑒−005	1.0731𝑒−002	2.2730𝑒+000	1.2854𝑒+000	2.5114𝑒+002
Glass	Average	2.2368𝑒+002	2.2539𝑒+002	2.5881𝑒+002	2.5239𝑒+002	2.3557𝑒+002
	Best	2.1232𝑒+002	2.1087𝑒+002	2.2911𝑒+002	2.2044𝑒+002	2.1574𝑒+002
	Worst	2.4627𝑒+002	2.5320𝑒+002	2.9908𝑒+002	3.0959𝑒+002	2.5538𝑒+002
	Std	7.8323𝑒+000	1.2685𝑒+001	1.4607𝑒+001	2.0131𝑒+001	1.2471𝑒+001