摘要
从属性选择和维变换两个方面对维规约技术进行了概括。首先对属性选择的基本思想和常用算法进行简要介绍;然后对维变换技术中的几种应用最广泛的方法进行了详细研究,主要包括主成分分析及其相关算法、独立成分分析、因子分析、投影寻踪等方法,简要给出了这些方法间的联系和区别,最后指出了维规约技术的现状和发展方向。
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.
出处
《计算机应用》
CSCD
北大核心
2006年第10期2401-2404,共4页
journal of Computer Applications
关键词
维规约
主成分分析
独立成分分析
因子分析
投影寻踪
dimension reduction
Principal Components Analysis（PCA）
Independent Components Analysis（ICA）
factor analysis
projection pursuit
