%0 Journal Article
%T Survey on feature dimension reduction for high-dimensional data<br>高维数据特征降维研究综述
%A HU Jie
%A <br>胡洁
%J 计算机应用研究
%D 2008
%I 
%X Feature dimension reduction is effective in improving machine learning,the point is how to search the subset and selection criteria.This paper defined general models for dimension reduction,compared different approaches, and discussed the unresolved topics and development trends.
%K dimension reduction
%K machine learning
%K feature selection
%K feature abstraction
%K selection criteria<br>降维
%K 机器学习
%K 特征选择
%K 特征抽取
%K 评估准则
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=8B6295307AC45837C35632FBA98C9906&yid=67289AFF6305E306&vid=C5154311167311FE&iid=9CF7A0430CBB2DFD&sid=AEF4E192E58CE217&eid=1C967A5CB3E65B9B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=3&reference_num=36