%0 Journal Article
%T Clustering algorithm of nominal data based on entropy<br>基于信息熵的标称变量聚类算法研究
%A WANG Yan
%A <br>王燕
%J 计算机应用
%D 2006
%I 
%X Through analyzing the characteristics of nominal data, clustering algorithm of nominal data based on entropy and hierarchical method was proposed. In this algorithm, similarity between objects was measured by using entropy and similarity threshold was calculated directly by using data. The experimental results show that this algorithm is feasible and effective.
%K entropy
%K clustering
%K nominal data<br>信息熵
%K 聚类
%K 标称变量
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=7ACD6A75605235EA&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=2CCF18D0FC32D483&eid=356A00866E8A0E8E&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6