Quantitative Analysis of a Weak Correlation between Complicated Data on the Basis of Principal Component Analysis

Quantitative Analysis of a Weak Correlation between Complicated Data on the Basis of Principal Component Analysis

The mining of weak correlation information between two data matrices with high complexity is a very challenging task. A new method named principal component analysis-based multiconfidence ellipse analysis (PCA/MCEA) was proposed in this study, which first applied a confidence ellipse to describe the...

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Bibliographic Details
Main Authors: Tao Pang, Haitao Zhang, Liliang Wen, Jun Tang, Bing Zhou, Qianxu Yang, Yong Li, Jiajun Wang, Aiming Chen, Zhongda Zeng
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Analytical Methods in Chemistry
Online Access:http://dx.doi.org/10.1155/2021/8874827
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