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

Data Clustering using Particle Swarm Optimization


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