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Principal Component Analysis (Springer Series in Statistics)
Principal Component Analysis - Springer Series in Statistics
Author: I. T. Jolliffe
Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques it continues to be the subject of much research, ranging from new model- based approaches to algorithmic ideas from neural networks. It is extremely versatile with applications in many disciplines. The first edition of ...  more »
ISBN-13: 9780387962696
ISBN-10: 0387962697
Pages: 271
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Publisher: Springer
Book Type: Hardcover
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