## 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¦
Abstract principal component analysis
β Scribed by Li, TianJiang; Du, Qiang
- Book ID
- 121563356
- Publisher
- SP Science China Press
- Year
- 2013
- Tongue
- English
- Weight
- 549 KB
- Volume
- 56
- Category
- Article
- ISSN
- 1674-7283
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