摘要
通信行业的激烈竞争,使客户细分工作显得越来越重要。该文结合通信行业的实际情况,通过研究数据挖掘的聚类方法,提出了用 K-means聚类算法实现通信行业客户细分,解决了通信行业缺乏细分手段的问题,提高了通信企业的效益和竞争力。
Under the fierce competition in telecommunications, subdivision of telecom clients becomes more and more important. By researching of clustering algorithm, this article puts forward how to use K-means algorithm to subdivide telecom clients. It solves the lack of measures about subdivision of telecom clients and enhances corporate competitive ability and increases profit margin.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第B12期440-441,488,共3页
Computer Engineering
