Clustering Algorithm Based on Density of Data

The k_means clustering algorithm has very extensive application. The paper givesout_in clustering algorithm based on density. The algorithm combines distance with data density to adapt to data distribution. It can effectively solve the clustering of data.Out_in clustering based on densityreduce distorition by move out and move in. Simulation results show that out_in clustering algorithm is more effective than the k_means clustering algorithm.