Optimal Cluster Selection Based on Ant Colony Optimization for Cluster Oriented Ensemble Classifier in Stream data classification
نویسندگان
چکیده
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.
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