%0 Journal Article
%T Creditable subspace labeling method<br>一种可信子空间标志方法*
%A ZONG Yu
%A JIANG He
%A ZHANG Yan-chun
%A LI Ming-chu
%A <br>宗瑜
%A 江贺
%A 张彦春
%A 李明楚
%J 计算机应用研究
%D 2009
%I 
%X This paper first gave the definition of creditable subspace based on D-S evidence, and then proposed a greedy algorithm CSL(creditable subspace labeling)which could search all the creditable subspaces.The creditable subspaces of the original data space could be found by iteratively executing the algorithm CSL.Once the creditable subspaces Cs were got, the true clustering results could be found using a traditional clustering algorithm on each creditable subspace. Experiments show that CSL can detect the actual creditable subspace with the original attribute. In this way,proposed a novel approach of using traditional clustering algorithms to deal with high dimensional data set clustering problems.
%K data mining
%K clustering analysis
%K D-S evidence theory
%K creditable subspace<br>数据挖掘
%K 聚类分析
%K D-S证据理论
%K 可信子空间
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=227507177E943E3D596A2B53A28E5BF0&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=876A004F66EE6271&eid=446661183660B78D&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=13