Research on Modified k-means Data Cluster Algorithm

The method of data clustering will influence the effect of clustering directly.The algorithm of k-means is discussed,the shortages ofthis algorithm such as it can not deal with symbolic data and it is sensitive for data of isolation point and noise are demonstrated.A modified k-meansclustering algorithm based on weights is put forward,it changes the shortcomings of k-means.Its complexity is analyzed from theoretical.Theexperiments show that,compared with traditional method based on means,the modified data clustering algorithm can improve the efficiency of dataclustering.