Principal component analysis

被引：2199
|
作者：
Bro, Rasmus [1 ]
Smilde, Age K. [1 ,2 ]
机构：
[1] Univ Copenhagen, Dept Food Sci, DK-1958 Frederiksberg C, Denmark
[2] Univ Amsterdam, Swammerdam Inst Life Sci, NL-1098 XH Amsterdam, Netherlands
来源：
ANALYTICAL METHODS | 2014年 / 6卷 / 09期
关键词：
MULTIVARIATE CALIBRATION; CROSS-VALIDATION; LINEAR TREND; CLASSIFICATION; EIGENVALUES; NUMBER; PCA; ROBUSTNESS; BOOTSTRAP; MATRICES;
D O I：
10.1039/c3ay41907j
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Principal component analysis is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. This paper provides a description of how to understand, use, and interpret principal component analysis. The paper focuses on the use of principal component analysis in typical chemometric areas but the results are generally applicable.
引用
收藏
页码：2812 / 2831
页数：20
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