%0 Journal Article
%T Data Stream Fuzzy Clustering Algorithm Based on Relative Density<br>基于相对密度的数据流模糊聚类算法
%A LIU Qing-bao
%A WANG Wen-xi
%A MA De-liang
%A <br>刘青宝
%A 王文熙
%A 马德良
%J 计算机科学
%D 2010
%I 
%X This paper provided a relative density based data stream fuzzy clustering algorithm which inherits the advantages of relative density based clustering and fuzzy clustering, so it can discover arbitrary-shape and multi-resolution clusters. With the subtraction operator on the set of micro-clusters which is defined according to the spatial overlapping relations among micro-clusters, this algorithm can do clustering on any user-specified data stream window. Compared with C1uStream algorithm on the two areas of clustering quality and processing time, this algorithm demonstrates a clear advantage.
%K Multi-resolution clustering
%K Fuzzy clustering
%K Data stream
%K Relative density<br>多分辨率聚类
%K 模糊聚类
%K 数据流
%K 相对密度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=62F6D3E19E669D61CE800E7ACEE44117&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=5D311CA918CA9A03&sid=5D9D6A8FC2C66FD8&eid=2BA123C6EB9D54C2&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9