A New Approach of Integrating PSO & Improved GA for Clustering with Parallel and Transitional Technique

This paper studies the applicability of hybridization of Improved GA (IGA) and PSO techniques to data clustering problem. A new way of integrating IGA and PSO is explored in the paper. In one approach, a parallel IGA and PSO developed and in other, a transitional approach of alternate IGA and PSO technique followed Simulations for number of data sets show that the proposed integrated approach provides better clustering performance.