Constrained Principal Component Analysis and Related Techniques PDF
by Yoshio Takane
Part of the ISSN series
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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
Information
-
Download - Immediately Available
- Format:PDF
- Pages:251 pages
- Publisher:CRC Press
- Publication Date:19/04/2016
- Category:
- ISBN:9781466556683
Other Formats
- Paperback / softback from £43.25
- Hardback from £91.65
Information
-
Download - Immediately Available
- Format:PDF
- Pages:251 pages
- Publisher:CRC Press
- Publication Date:19/04/2016
- Category:
- ISBN:9781466556683
