%0 Journal Article
%T Survey on dimension reduction techniques<br>维规约技术综述
%A XU Ming-wang
%A SHI Run-shen
%A <br>许明旺
%A 施润身
%J 计算机应用
%D 2006
%I 
%X Dimension reduction techniques were discussed from the two aspects: feature selection and dimension transformation. Firstly, the basic theory and famous algorithms of feature selection were roughly introduced. Then, several most popular dimension transformation techniques were analyzed in detail including Principal Components Analysis and its related methods, Independent Components Analysis, factor analysis, projection pursuit, etc. Meanwhile, connection and distinction between them were provided. Finally, the present situation and future development of dimension reduction techniques were pointed out.
%K dimension reduction
%K Principal Components Analysis(PCA)
%K Independent Components Analysis(ICA)
%K factor analysis
%K projection pursuit<br>维规约
%K 主成分分析
%K 独立成分分析
%K 因子分析
%K 投影寻踪
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=817119CBBFF89586&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=C60F9D75D8506098&eid=B9A14123527DFCC6&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=15