Abstract:
This paper proposes two new approaches to using PSO to cluster data. It is shown how PSO can he used to find the centroids of a user specified number of clusters. The algorithm is then extended to use K-means clustering to seed the initial swarm. This second alga. rithm basically uses PSO to refine the clusters formed by K-means. The new PSO Algorithms are evaluated on six data sets, and compared to the performance of K-means clustering. Results show that both PSO clustering techniques have much potential.
Software Requirements
· Operating System : Windows 2000/xp
· Language: Java
Hardware Requirements
· Pentium III processor
· 128 bit RAM
· Hard disk according to the required storage
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