Because of the traditional K-medoids clustering algorithm the initial clustering center sensitive, the global search ability is poor, easily trapped into local optimal and slow convergent speed; therefore, this article proposes an improved K-medoids clustering algorithm. Differential evolution is a kind of heuristic global search technology population, has strong robustness. Combined with K-medoids clustering algorithm efficiency and the global optimization ability of DE algorithm, not only can effectively overcome the detects of the K-medoids clustering algorithm, but also can raise the globa...
