Paper Presentation & Seminar Topics: Data Clustering using Particle Swarm Optimization

Data Clustering using Particle Swarm Optimization

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