Constrained Principal Component Analysis and Related Techniques

by Yoshio Takane

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...

• Format: Paperback
• Language: English
• ISBN: 0367576287
• ISBN13: 9780367576288
• Release Date: June 2020
• Publisher: CRC Press
• Length: 251 Pages
• Weight: 0.80 lbs.
• Dimensions: 0.6" x 6.0" x 9.1"