%0 Journal Article
%T Survey of clustering validity evaluation<br>聚类有效性评价综述*
%A YANG Yan
%A JIN Fan
%A KAMEL Mohamed
%A <br>杨燕
%A 靳蕃
%A KAMEL Mohamed
%J 计算机应用研究
%D 2008
%I 
%X The need for fair methods that can assess the validation of clustering results is becoming more and more critical in cluster analysis applications. The paper surveyed the widely known clustering validity evaluation based on external criteria, internal criteria, and relative criteria. It presented a review of fuzzy clustering validity measures and the determining of optimal number of clusters adaptively.
%K clustering
%K clustering evaluation
%K validity index<br>聚类
%K 聚类评价
%K 有效性指数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=3DB48460046AB88AF2B09E72D11E5BA9&yid=67289AFF6305E306&vid=C5154311167311FE&iid=B31275AF3241DB2D&sid=2AAEC1E50A125188&eid=06B73AD4ED947C02&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=16