A Clustering Model and Optimized Algorithm Based on Swarm Intelligent Theory
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Cluster is an algorithm, which can divide the data in the database into different groups, and there are obvious distinctions among groups. This paper provides a model of the clustering and an optimized ant colony-clustering algorithm which is based on the swarm intelligence and that mathematic model is provided at the same time. Experimental results conform that this algorithm, which can be used in economic analysis, pattern recognition, document classification and so on, is effective.