基于改进聚类算法的客户分类系统的设计与研究

Design and Research on customer classification system based on improved clustering algorithm

考虑到现有客户关系关系存在的一些问题,本文引入了模糊数学的相关算法,给数据对象的隶属度加上一个权值,以及在算法中采用有效性函数来自动确定聚类的初始数目,理论分析与实验结果表明,在客户关系管理环境下所引入的改进模糊聚类算法比传统模糊聚类算法有更好的聚类效果,更快的聚类速度,为企业对不同客户采用不同营销策略提供了依据。

In order mathematics, degree to overcome the shortrage of CRM, the paper introduces the related algorithm of fuzzy of membership of the data is added weighted value and the choice for parameter of number of clusters based on cluster better cluster result and has faster classification validity function. Experiments also show that the modified FCM has a clustering rate, provide the basis for the enterprise to the customer classification