Constrained Principal Component Analysis and Related Techniques Constrained Principal Component Analysis and Related Techniques
Chapman & Hall/CRC Monographs on Statistics and Applied Probability

Constrained Principal Component Analysis and Related Techniques

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Publisher Description

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

GENRE
Science & Nature
RELEASED
2016
April 19
LANGUAGE
EN
English
LENGTH
251
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
4
MB
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