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"item_title" : "Principal Component Analysis",
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"item_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.",
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Principal Component Analysis
Overview
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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Details
- ISBN-13: 9780387954424
- ISBN-10: 0387954422
- Publisher: Springer
- Publish Date: October 2002
- Dimensions: 9.04 x 6.82 x 1.12 inches
- Shipping Weight: 1.92 pounds
- Page Count: 488
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