期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2013
卷号：4
期号：4
页码：626-631
出版社：Technopark Publications
摘要：In this paper we proposed a method of optimal selection of cluster for cluster oriented classifier. The cluster oriented classifier is great advantage over binary and conventional classifier. The cluster oriented classifier work very efficiently on real and sample data. But the cluster oriented ensemble classifier faced a problem of selection of number of cluster for ensemble. In current fashion the number of cluster passes as fixed. Now these bottleneck of cluster oriented ensemble classifier is replace with ant colony optimization. Ant colony optimization technique is very famous meta-heuristic function in concern of multi-objective. Using ant colony optimization we proceed the optimal selection of cluster in ensemble classifier. Our empirical result analysis shows that better result in compression of cluster oriented ensemble classifier for stream data classification
