The traditional K-medoids clustering algorithm,because on the initial clustering center sensitive,the global search ability is poor,easily trapped into local optimal,slow convergent speed,and so on.Therefore,this paper proposed a kind of K-medoids clustering algorithm based on differential evolution.Differential evolution was a kind of heuristic global search technology population,had strong robustness.It combined with the global optimization ability of differential evolution using K-medoids clustering algorithm,effectively overcame K-medoids clustering algorithm,shortend convergence time,impr...
