A Particle Swarm Optimization K-Means Algorithm for Mongolian Elements Clustering

Abstract

Text clustering is an important research area of clustering technique. Clustering analysis groups the text according to similar characteristics, so the text in the same clusters have the greatest similarity, while the text in different clusters have the greatest dissimilarity. In this paper, we proposed a hybrid clustering technique called PSOKM that combined particle swarm optimization algorithm with K-Means. Numerical experiments show that our proposed algorithm outperforms than existing others.