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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
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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
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
Principal Components Analysis
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For anyone in need of a concise, introductory guide to principal components analysis, this book is a must. Through an effective use of simple mathematical-geome
Model-Based Machine Learning
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Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learni