基于FCM算法的电子商务客户分类研究  

Rescarch of electronic commerce customer classification based on FCM algorithm

作　　者：郑晓薇[1] 马琳[1] 

机构地区：[1]辽宁师范大学计算机与信息技术学院,辽宁大连116081

出　　处：《微型机与应用》2013年第15期90-92,95,共4页Microcomputer & Its Applications

摘　　要：面对电子商务模式下电商对客户竞争的现状,针对传统的客户分类方法的不足,设计了一种基于FCM模糊聚类算法客户分类的并行算法。实验结果表明设计的方法能准确地对电商客户分类,在MATLAB集群下并行算法的运行取得了明显的并行效果。Electricity supplier to customer facing E-commerce mode of competition of the status quo, for the shortcomings oftraditional customer classification, designed a customer classification based on FCM clustering algorithm for parallel algorithms. ThisE -commerce website Eslite′ s historical trading data for experiment, results indicated that this design approach can accurately tocustomer classification, MATLAB clustering algorithm for parallel run has been made apparent side-effects.

关 键 词：电子商务客户分类 FCM算法 MATLAB集群并行 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]