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ISBN 10: 9811241198 ISBN 13: 9789811241192
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Published by World Scientific Publishing Company, 2021
ISBN 10: 9811241198 ISBN 13: 9789811241192
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Published by World Scientific Publishing Company, 2021
ISBN 10: 9811241198 ISBN 13: 9789811241192
Language: English
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Published by World Scientific Publishing Company, 2021
ISBN 10: 9811241198 ISBN 13: 9789811241192
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Published by World Scientific Publishing Company, 2021
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Published by World Scientific Publishing Company, 2021
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Published by World Scientific Publishing Company, 2021
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Published by World Scientific Publishing Company, 2021
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Published by World Scientific Publishing Company, 2021
ISBN 10: 9811241198 ISBN 13: 9789811241192
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Published by World Scientific Publishing Company, 2021
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Published by World Scientific Publishing Company, 2021
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Published by World Scientific Publishing Co Pte Ltd, SG, 2021
ISBN 10: 9811241198 ISBN 13: 9789811241192
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Add to basketHardback. Condition: New. 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.
Published by World Scientific Pub Co Inc, 2021
ISBN 10: 9811241198 ISBN 13: 9789811241192
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Add to basketHardcover. Condition: Brand New. 867 pages. 9.00x6.00x1.81 inches. In Stock.
Published by World Scientific Publishing Co Pte Ltd, SG, 2021
ISBN 10: 9811241198 ISBN 13: 9789811241192
Language: English
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Add to basketHardback. Condition: New. 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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Add to basketGebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnThis 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 .
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.