基于K-means聚类算法的客户细分探讨  

On Customer Segmentation Based on K-means Clustering Algorithm

作　　者：缪兵[1] 

机构地区：[1]盐城师范学院,江苏盐城224002

出　　处：《连云港职业技术学院学报》2012年第1期7-9,共3页Journal of Lianyungang Technical College

摘　　要：重点讨论了聚类分析方法中K-means聚类算法在客户价值分析中的作用,通过对客户的现有价值和潜在价值进行分析,对客户进行细分。在此基础上,企业可结合行业的特征找出各类客户的特点,实行差异化服务策略,让更好的资源和服务提供给最有价值客户,从而达到顾客满意、企业盈利的目的。The paper focuses on importance of K-means clustering algorithm among clustering analyses in the analysis of customer value and provides customer segmentation through analysis of the customer＇s current and potential values.On this basis,enterprises may identify characteristics of various types of customers in conjunction with industrial features and implement differentiated service strategies and offer better resources and services to the most valuable customers,so as to achieve the goal of profitability as well as customer satisfaction.

关 键 词：客户细分 聚类分析 K-MEANS聚类算法 

分 类 号：F274[经济管理—企业管理]