摘要
为充分挖掘和利用现有信息有效管理网站客户,本文在分析了经典聚类算法——K-means算法后,探讨了K-means算法在某农资网站客户管理中的具体应用,从网站角度及各配肥站角度对客户进行聚类,分析聚类结果,找到该网站客户管理中存在的问题,帮助该网站更好地留住老客户、拓展新客户.
In order to fully exploit and utilize the existing information to effectively manage website customers,based on the analysis of the classical clustering algorithm——K-means clustering algorithm,this paper discusses the application of K-means algorithm in the customer management of an agricultural resource website,from the point of view of website and each fertilizer station to cluster customers,analyze the clustering results,find the problems existing in the website's customer management,and help the website better retain old customers and expand new customers.
作者
王玉珍
丁申宇
WANG Yu-zhen;DING Shen-yu(Silk Economic Research Institute,Lanzhou University of Finance and Economics,Lanzhou 730020,China;School of Information Engineering,Lanzhou University of Finance and Economics,Lanzhou 730020,China)
出处
《枣庄学院学报》
2020年第5期45-51,共7页
Journal of Zaozhuang University
基金
兰州财经大学丝绸之路经济研究院科研项目(项目编号:JYYZ201903).
