Hybrid clustering algorithm based on artificial bee colony and K-means algorithm

The traditional K-means clustering algorithm is too dependent on the initial clustering centers.With regards to this,this paper proposed a mixed clustering method based on the improvement artificial colony algorithm and the K-means algorithm.The new method combined the advantages of regulating ability of global optimization and local optimization with rapid convergence of K-means clustering algorithm to improve the robustness of the algorithm.Experiments show that the clustering result of the new method is significantly improved,not only the stability.