Dimension Reduction

The Elements of Statistical Learning

An Introduction to Statistical Learning

An Introduction to Statistical Learning

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Provides a practical guide to dimensionality reduction techniques, covering various algorithms, their implementation, and applications in different domains, such as bioinformatics and computer vision.

An Introduction to Statistical Learning

Knowledge Discovery in Multiple Databases (Advanced...

Knowledge Discovery in Multiple Databases

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Explores the applications of dimension reduction in data mining, discussing different algorithms and their impact on data analysis and knowledge discovery.

Ensemble Methods: Foundations and Algorithms...

Machine Learning

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Explores the use of tensor techniques for dimensionality reduction, providing advanced algorithms and theoretical insights. It is suitable for advanced readers interested in the intersection of tensor analysis and dimension reduction.

Advances in Knowledge Discovery and Data Mining:...

Emerging Technologies in Knowledge Discovery and...

Advances in Knowledge Discovery and Data Mining:...

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Advances in Knowledge Discovery and Data Mining:...

Advances in Knowledge Discovery and Data Mining:...

Advances in Knowledge Discovery and Data Mining:...

Advances in Knowledge Discovery and Data Mining:...

Advances in Knowledge Discovery and Data Mining:...

Elements of Dimensionality Reduction and Manifold...

Elements of Dimensionality Reduction and Manifold...

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Focuses on manifold learning, a subtopic of dimension reduction that aims to reveal the intrinsic structure of high-dimensional data lying on a low-dimensional manifold.

Hardcover