%0 Journal Article
%T A Outlier Mining Algorithm Based on Principal Component Analysis<br>一种基于主成分分析的异常点挖掘方法
%A WANG Hong-Chun
%A PENG Hong
%A <br>王洪春
%A 彭宏
%J 计算机科学
%D 2007
%I 
%X Based on the analysis of the existing algorithms of outlier mining,a new outlier mining algorithm is put for- ward based on principal component analysis,it clustering firstly with Density-based algorithm,and determine outliers according to principal component analysis within the sparse samples around the clusters that it don't contain any clus- ters,experimental results show the feasibility and effectiveness of the new algorithm.
%K Outlier
%K Principal component analysis(PCA)
%K Data mining
%K Clustering algorithm<br>异常点
%K 主成分分析
%K 数据挖掘
%K 聚类算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=D8AEE68B8B16111C&yid=A732AF04DDA03BB3&vid=339D79302DF62549&iid=F3090AE9B60B7ED1&sid=C29816B2656377A7&eid=5D9D6A8FC2C66FD8&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9