## Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several interβcorrelated quantitative dependent variables. Its goal is to extract the important information from the table, to represent it as a set of new or
β¦ LIBER β¦
Backwards Principal Component Analysis and Principal Nested Relations
β Scribed by Damon, James; Marron, J. S.
- Book ID
- 121619413
- Publisher
- Springer US
- Year
- 2013
- Tongue
- English
- Weight
- 471 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0924-9907
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