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Principal component analysis

Author: Ian T Jolliffe
Publisher: New York : Springer, [2007]
Series: Springer series in statistics
Edition/Format:   Print book : English : 2nd ed., reprintView all editions and formats
Summary:
Principal component analysis is central to the study of multivariate data. This book includes core material, research and a wide range of applications. It is suitable for researchers in statistics and for those who use principal component analysis. It requires some knowledge of matrix algebra.
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Document Type: Book
All Authors / Contributors: Ian T Jolliffe
ISBN: 9780387954424 0387954422
OCLC Number: 635925639
Notes: 1st ed. 1986.
Description: 487 Seiten : figur.
Series Title: Springer series in statistics
Responsibility: I.T. Jolliffe.

Abstract:

Principal component analysis is central to the study of multivariate data. This book includes core material, research and a wide range of applications. It is suitable for researchers in statistics and for those who use principal component analysis. It requires some knowledge of matrix algebra.

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