CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects
This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering.Most of the mathematical background is provided in appendices, highlighting algebraic and complexity theory, in order to make this volume as self-contained as possible. A substantial number of exercises and supplements makes this a useful reference textbook for researchers and students.
1139669247
CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects
This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering.Most of the mathematical background is provided in appendices, highlighting algebraic and complexity theory, in order to make this volume as self-contained as possible. A substantial number of exercises and supplements makes this a useful reference textbook for researchers and students.
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CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects

CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects

by Dan A Simovici
CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects

CLUSTERING: THEORETICAL AND PRACTICAL ASPECTS: Theoretical and Practical Aspects

by Dan A Simovici

eBook

$174.00 

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Overview

This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering.Most of the mathematical background is provided in appendices, highlighting algebraic and complexity theory, in order to make this volume as self-contained as possible. A substantial number of exercises and supplements makes this a useful reference textbook for researchers and students.

Product Details

ISBN-13: 9789811241215
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 08/03/2021
Sold by: Barnes & Noble
Format: eBook
Pages: 884
File size: 68 MB
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