%0 Journal Article
%T Ant Colony Algorithm Based on Entropy for Customer Segmentation<br>基于信息熵的蚁群聚类算法在客户细分中的应用①
%A WU Chun-Xu
%A LIU Yan-Ze
%A GOU Qing-Long
%A <br>吴春旭
%A 刘艳泽
%A 苟清龙
%J 计算机系统应用
%D 2010
%I 
%X The ant-based clustering algorithm needs to set several parameters and cluster for a long time.The ant- based clustering algorithm based on entropy, which uses entropy to amend the ants picking and dropping rules, can reduce the number of parameters and shorten the time of clustering. This paper intends to apply it to the customer segmentation, and compares the segmentation results with the traditional ant-based clustering algorithm. The experiment shows that the ant-based clustering algorithm based on entropy can accelerate customer segmentation.
%K entropy
%K ant colony algorithm
%K clustering
%K customer segmentation
%K application<br>信息熵
%K 蚁群算法
%K 聚类
%K 客户细分
%K 应用
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=12D2706894DD4D8954CCA6DD377C938B&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=94C357A881DFC066&sid=73579BC9CFB2D787&eid=0584DB487B4581F4&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=7