An improved K-means cluster algorithm
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This paper incorporates hybrid particle swarm optimization algorithm into the K-means to overcome the local search of K-means algorithm,and adds the penalty function to reconstruct the fitness function,and proposes an improved K-means Cluster Algorithm,the computational experimental results on two benchmark dataset have shown that the improved K-means has better globe search capability,faster convergence velocity and is to attain higher precision value than K-means algorithm.