%0 Journal Article
%T Analysis algorithm for cluster-based outlier<br>基于聚类的离群点分析方法*
%A DENG Yu-jie
%A ZHU Qing-sheng
%A <br>邓玉洁
%A 朱庆生
%J 计算机应用研究
%D 2012
%I 
%X For the formation of outliers,different attributes play different roles.Outliers in the different attribute space will show the different characteristics.In most cases,whether the high dimensional data is the outlier usually depends on the projection of these objects in low-dimensional space.In order to classify the origin of outliers,this paper defined some concepts such as outlier attributes and outlier cluster and proposed the approaches to outlier analysis by classified outliers based on the existing outlier mining technology.Furthermore,it gave an effective CBOC algorithm to provide outliers’intensional knowledge,whose validity in practical applications is finally verified by the experimental results.
%K outlier analysis
%K outlier classification
%K outlier attributes
%K outlier cluster
%K intensional knowledge<br>离群分析
%K 离群分类
%K 离群属性
%K 离群簇
%K 内涵知识
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F950C016BC33E90147A23B46A792EA73&yid=99E9153A83D4CB11&vid=771469D9D58C34FF&iid=38B194292C032A66&sid=461E94ABCF58C63F&eid=B84F2E0A99FDC89A&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10