%0 Journal Article
%T Improved Rough K-means Clustering Algorithm with Weight Based on Density<br>基于密度加权的粗糙K-均值聚类改进算法
%A ZHENG Chao
%A MIAO Duo-qian
%A WANG Rui-zhi
%A <br>郑超
%A 苗夺谦
%A 王睿智
%J 计算机科学
%D 2009
%I 
%X According to the feature of the calculation of means in Rough K-means algorithm, an improved Rough K- means algorithm was proposed. The new algorithm introduces weights to the calculation of means, which is based on the density of each point. The experime
%K Clustering algorithm
%K Rough K-means
%K Density
%K Outlier<br>聚类算法
%K 粗糙K-均值
%K 密度
%K 孤立点
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=852ABBF4F2CE933750861AEDC1F2CC00&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=38B194292C032A66&sid=1D67BE204FBF4800&eid=8B59EA573021D671&journal_id=1002-137X&journal_name=计算机科学&referenced_num=5&reference_num=10