哈尔滨商业大学学报（自然科学版）2017，Vol.33Issue(2)：175-179,5.
基于聚类分析的电子商务客户忠诚度研究
Research on E-commerce customer loyalty based on clustering analysis
摘要
Abstract
According to the characteristics of E-commerce industry, the influence factors of E-commerce customer loyalty were comprehensively analyzed. Based on classical RFM model based on customer loyalty, the customer loyalty of RFMSA E-commerce model was established. Based on the classical clustering analysis algorithm K-means, the improved algorithm of the initial cluster centers was proposed to partition the customer loyalty. Through the analysis of the classic sample data, the experimental results showed that the improved rough set K-means clustering algorithm could effectively improve the accuracy of clustering.关键词
顾客忠诚度/RFMSA/K-means/粗糙集Key words
customer loyalty/RFMSA/K-means/rough set分类
管理科学引用本文复制引用
李敏,张玉莹,于欣雨..基于聚类分析的电子商务客户忠诚度研究[J].哈尔滨商业大学学报（自然科学版）,2017,33(2):175-179,5.基金项目
黑龙江省自然科学基金项目(F201348) （F201348）
