A Novel Clustering Method Using PSO-Adjusted Space Conversion

Conventional clustering methods may fail to solve some real world clustering problems. In this paper, a novel clustering method using PSO-adjustedspace conversion is presented. The main idea of proposed algorithm is to transfer given dataset to a new space in witch conventional clustering methodscan determine the intrinsic grouping in the set. Finding such a linear transform that would result in minimum error and precise clustering is performed by particleswarm optimization (PSO). The merit of proposed method is certificated in skin detection as a real word benchmark problem

Keywords:

Fuzzy Clustering , Particle Swarm Optimization , Fuzzy C-means (FCM) algorithm , Linear Space Conversion