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This book provides a comprehensive introduction to the latest advances in the mathematical theory and computational tools for modeling high-dimensional data dra
Principal Component Analysis
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Principal component analysis is probably the oldest and best known of the It was first introduced by Pearson (1901), techniques ofmultivariate analysis. and dev
Advances in Principal Component Analysis
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This book reports on the latest advances in concepts and further developments of principal component analysis (PCA), addressing a number of open problems relate
A User's Guide to Principal Components
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Generalized Low Rank Models
Language: en
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Principal components analysis (PCA) is a well-known technique for approximating a tabular data set by a low rank matrix. This dissertation extends the idea of P