%0 Journal Article
%T Grid-entropy-based boundary points detecting algorithm<br>基于网格熵的边界点检测算法
%A QIU Bao-zhi
%A LIU Yang
%A CHEN Ben-hua
%A <br>邱保志
%A 刘洋
%A 陈本华
%J 计算机应用
%D 2008
%I 
%X In order to detect the boundary points of clusters effectively, the concept of grid-entropy and a grid-entropy-based boundary points detecting algorithm Greb were proposed, which detected boundary points by the value of grid-entropy and only needed to scan the datasets twice. As shown in the experimental results, Greb can detect boundary points effectively and efficiently on various datasets.
%K boundary points
%K grid-entropy
%K clusters<br>边界点
%K 网格熵
%K 聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=4E10CAEA3BFFE615D1C591093FBC2059&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=20D29EF591CB2C94&eid=7F9B7E84827A650F&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=8