关键词: 数据挖掘 聚类 SOM 可视化 客户分群

Abstract:

The typical cluster algorithms, such as Kmeans, mostly need to decide the number of clusters before training. However,it is difficult to achieve this   in fact, and it is of blindness to do this based on experience. In this paper, a clustering algorithm based on SOM is presented. SOM has powerful visual ization ability, and our eyes can exploit models under low-dimension circumstances quickly. The method we present here makes use of these two advantages . Also we partition telecom customers with this method for the sake of grasping the characteristics of customer clusters. The application is meaningful   in making the best telecom policy.

Key words: （data mining, cluster, SOM, visualization, customer partitioning）