Introduction to statistical, algorithmic and theoretical basis of principal components analysis

被引：3
|
作者：
Brereton, Richard G. [1 ]
机构：
[1] Univ Bristol, Sch Chem, Cantocks Close, Bristol BS8 1TS, Avon, England
来源：
JOURNAL OF CHEMOMETRICS | 2022年 / 36卷 / 09期
关键词：
D O I：
10.1002/cem.3406
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The difference between NIPALS and svd is discussed; the criteria for principal components based on maximum sum of squares and minimum residuals is described and illustrated via two small numerical examples.
引用
收藏
页数：9
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