Constrained Principal Component Analysis and Related Techniques

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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? What kind of benefits are we getting from them? Addressing these questions, Constrained Principal Component Analysis and Related Techniques shows how constrained PCA (CPCA) offers a ...

Constrained Principal Component Analysis and Related Techniques 2013, CRC Press

ISBN-13: 9781466556669

Hardcover

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