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Principal component analysis using QR decomposition

✍ Scribed by Alok Sharma, Kuldip K. Paliwal, Seiya Imoto…

Book ID: 120697539
Publisher: Springer-Verlag
Year: 2012
Tongue: English
Weight: 314 KB
Volume: 4
Category: Article
ISSN: 1868-8071
DOI: 10.1007/s13042-012-0131-7

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## Abstract Principal component analysis (PCA) is a multivariate technique that analyzes a data table in which observations are described by several inter‐correlated quantitative dependent variables. Its goal is to extract the important information from the table, to represent it as a set of new or