Constrained Principal Component Analysis and Related Techniques (1) (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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- Synopsis
- 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
- Copyright:
- 2014
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 251 Pages
- ISBN-13:
- 9781040079454
- Related ISBNs:
- 9780429188374, 9781466556683, 9781466556669, 9780367576288
- Publisher:
- CRC Press
- Date of Addition:
- 01/26/25
- Copyrighted By:
- Taylor & Francis Group, LLC
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.