%0 Journal Article
%T Algorithms of Feature Extraction from High-Dimensional Objects and their Comparisons<br>高维数据特征提取算法的研究及比较
%A LIN Xiao-Li CHEN En-Hong REN Wan-Ying
%A <br>林晓立
%A 陈恩红
%A 任皖英
%J 计算机科学
%D 2003
%I 
%X This paper introduces and analyzes several feature extraction algorithms. These algorithms use linear or non-linear feature extraction methods to project high-dimensional objects into lower dimensional space, thus the complexity of the operations upon them, such as clustering, the nearest-neighbor search, visualization and etc can be reduced. The paper also presents some comparative experimental results of these algorithms and analyzes briefly their advantages or shortcomings.
%K High-dimensional data
%K Feature extraction
%K Dimension reduction<br>Bourgain算法
%K Cofe算法
%K 高维数据特征提取算法
%K 数据集中
%K 数据处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=5F48F7C30F2BA7DD&yid=D43C4A19B2EE3C0A&vid=340AC2BF8E7AB4FD&iid=E158A972A605785F&sid=BBF7D98F9BEDEC74&eid=C5F8B8CB20F1B3D8&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=6