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Principal Manifolds for Data Visualization and Dimension Reduction
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Type: BOOK - Published: 2007-09-11 - Publisher: Springer Science & Business Media

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The book starts with the quote of the classical Pearson definition of PCA and includes reviews of various methods: NLPCA, ICA, MDS, embedding and clustering alg
Elements of Dimensionality Reduction and Manifold Learning
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Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better represen
Manifolds
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Differential geometry is a very active field of research and has many applications to areas such as physics and gravity, for example. The papers in this book co
On Dimension Reduction Using Manifolds
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Nonlinear Dimensionality Reduction
Language: en
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Authors: John A. Lee
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Type: BOOK - Published: 2010-11-19 - Publisher: Springer

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This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, devel