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Springer Principal Component Analysis (Springer Series in Statistics)

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Description

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.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
01 December 2010
Listed Since
14 June 2010

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