| 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,并初步探套了用主成分分析进行数值分类选用协方差阵和相关阵时应注意的问题。 |
| 关键词: 主成分分析,数值分类,相关矩阵,协方差矩阵 |
| DOI: |
| 分类号:O212.4 |
| 基金项目: |
|
| Problems in Numerical Taxonomy with PCA |
|
Zhou Jingyu Song Shide Yuan Zhifa,Zhou Jingyu Song Shide Yuan Zhifa,Zhou Jingyu Song Shide Yuan Zhifa
|
| Abstract: |
| 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. |
| Key words: principal component analysis,numerical taxonomy,correlation matrix, covariance matrix |