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Principal component analysis is central to the study of multivariate data. 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 including computer science, psychology, chemistry, and atomspheric science.

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Principal Component Analysis 2002, Springer, New York, NY

ISBN-13: 9780387954424

2nd 2002 edition

Hardcover

Principal Component Analysis 1986, Springer, New York, NY

ISBN-13: 9780387962696

Hardcover