Abstract: Data clustering has been a well-studied research field for a long time. One of the latest trends in this area is the application of Particle Swarm Optimization (PSO) in clustering which has good potential for improvements. This paper presents an approach to using Particle Swarm Optimization to cluster data. It is shown how PSO can be used to find the centroids of a user specified number of clusters. Results show that PSO clustering techniques have much potential.

Keywords: Social intelligence, Particle swarm optimization, Swarm computing, Clustering algorithms.

ACM Classification Keywords: 10010147.10010178 Computing methodologies Artificial intelligence, 10010147.10010257 Computing methodologies Machine learning, 10010147.10010257.10010293.10010294 Computing methodologies Neural networks.

Link:

Clustering using Particle Swarm Optimization

Nuria Gómez Blas, Octavio López Tolic

http://www.foibg.com/ijita/vol23/ijita23-01-p03.pdf