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 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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Add this copy of Principal Component Analysis (Springer Series in to cart. $58.93, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 2002 by Springer.
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Add this copy of Principal Component Analysis (Springer Series in to cart. $73.47, very good condition, Sold by Griffin Books rated 5.0 out of 5 stars, ships from Stamford, CT, UNITED STATES, published 2002 by Springer.
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Very Good- 0387954422. Glossy hardback covers show light wear to the spine edges and corners.; Springer Series In Statistics; 9.1 X 6.2 X 1.4 inches; 518 pages.