摘要
讨论用协方差阵（Σ）和相关阵（Ｒ）进行主成分分析的关系。
The relationship between PCA from the covariance matrix (Σ) and PCA from the correlation matrix (R) was discussed.And the problems in selection of whether covariance matrix or correlation matrix in numerical taxonomy with PCA were primarily studied.
出处
《西北农业大学学报》
CSCD
1996年第5期95-98,共4页
Journal of Northwest Sci-Tech University of Agriculture and Forestry（Natural Science Edition)
关键词
主成分分析
数值分类
相关矩阵
协方差矩阵
principal component analysis,numerical taxonomy,correlation matrix, covariance matrix
