摘要
针对传统的主成分分析在处理数据的多重相关性、无量纲化、线形化等方面存在的缺陷,讨论并改进了主成分分析时对数据多重相关性、无量纲化及线形化等方面的预处理问题。
Against weakness in multiple relevance, in-dimensional and linearization of data processing in using traditional principal component analysis method , some problem are stated of principal component analysis in multipie relevance, in-dimensional and linearization of data processing and put forward improvement suggestions.
出处
《科学技术与工程》
2007年第5期678-681,共4页
Science Technology and Engineering
关键词
主成分分析
多重相关
无量纲化
线形化
数据处理
评价
principal component analysis multiple relevance in-dimensional linearization dataprocessing evalution
