Constrained Principal Component Analysis and Related Techniques

Constrained Principal Component Analysis and Related Techniques

Auteur: Yoshio Takane
Éditeur: CRC Press
Édition: 1
Année de publication: 2016
ISBN: 9781466556669

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In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good idea to combine them? Wha

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