摘要
结合聚类算法的分析,提出了一种解决电信客户细分的应用模型,该模型在实际中得到了较好的应用并为电信服务产品的策划设计提供了依据。同时,通过引入指标区分度的定义,给出了一种聚类方法应用效果评估的方法。该方法结合电信的案例应用与K-Means、SOM、BIRCH等聚类方法结果的分析,得出K-Means方法在电信客户市场细分中的应用优越性。
With the analysis of clustering algorithms, an applied model for telecom customer segments was provided, which achieved good applications in actual customer market segments, and provided reference for designing telecom service products. With introduction to definition of index difference, a new method was presented to evaluate the application effect of clustering algorithms. The method shows the best performance of K-means for actual cases in telecommunication customer segments with multiple clustering algorithms such as K-means, SOM, and BIRCH.
出处
《计算机应用》
CSCD
北大核心
2007年第10期2566-2569,2577,共5页
journal of Computer Applications
关键词
聚类算法
K均值
客户细分
clustering algorithm
K-Means
customer segment
