Market Clustering with Ant Colony Optimization (Comparative approach with k-means)

Nowadays the ability of organization increased to identify target markets with data mining techniques. Clustering is a method in which we make cluster of objects that are some how similar in characteristics. In market segmentation process, customers are segmented as such customers placed in the same group, and various groups have minimal affinity. Then, fitness marketing strategy in accordance with the specification that these groups are used .With larger databases, researcher’s attempt to focus on finding effective clustering methods in order to effectively decision. In this paper we clustering the trail market in Iran with ant colony optimization and to further investigate the accuracy of this model we compared the results with a classic clustering K-Mean. This paper presents an ant colony optimization methodology for optimally clustering N objects into K clusters. The results show, the higher accuracy of the ant colony optimization.