%0 Journal Article
%T Shadowed Sets Based Threshold Selection in Rough Clustering<br>基于阴影集的粗糙聚类闭值选择
%A GUO Jin-hu
%A MIAO Duo-qian
%A ZHOU Jie
%A <br>郭晋华
%A 苗夺谦
%A 周杰
%J 计算机科学
%D 2011
%I 
%X Rough set based clustering has been applied widely in soft clustering since proposed,but the threshhold is oft en given subjectively,fails to consider the characteristics of the data set itself. hhis study based on shadowed sets opti mization theory gave an objective thereshold selection method, and applied it to rough fuzzy GMeans clustering algo rithm. Artificial data and UCI data experimental results show the effectiveness of the proposed method.
%K Shadowed sets
%K Rough clustering
%K Rough-fuzzy clustering<br>阴影集，粗糙聚类，粗糙模糊聚类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E793D5AF31338132631&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=F3090AE9B60B7ED1&sid=79D2EF35F60110C2&eid=AA27B676BFCAA4BE&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0