Cluster Analysis Based on Differential Evolution Algorithm

After analyzing the disadvantage of the classical K-means clustering,we propose a novel K-means cluster analysis algorithm based on differential evolution algorithm and a K-means cluster analysis algorithm based on self-adaptive differential evolution algorithm to improve the classical K-means algorithm.Numerical experiment results show that the new algorithms can overcome the faults of the classical K-means algorithm,and converge quickly.Comparative research exposes the two proposed algorithms as competitive algorithms for clustering.