A New Cooperative Algorithm Based on PSO and K-Means for Data Clustering
In this paper, a new cooperative algorithm based on k-means and PSO is presented. In the proposed algorithm, PSO performs global search and k-means is responsible for local search. The process of the proposed algorithm is such that the strength and ability of preventing from being trapped in local optimums is improved. The proposed algorithm along with four other algorithms is used for clustering 6 standard datasets and obtained results are compared with each other. Experimental results show that the proposed algorithm is of higher robustness and better efficiency to other tested algorithms. To improve the obtained results of the proposed algorithm, it can increase local search ability around the best found position by the algorithm.