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Partitional Clustering Nonsmooth Optimization by Bagirov Adil (21 results)
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Encuadernación de tapa dura. Condition: Muy Bien. 2? Edición.
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Encuadernación de tapa dura. Condition: Muy Bien. 2? Edición.
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Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Very Good.
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Partitional Clustering via Nonsmooth Optimization: Clustering via Optimization (Unsupervised and Semi-Supervised Learning)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 124.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Taschenbuch. Condition: Neu. Partitional Clustering via Nonsmooth Optimization | Clustering via Optimization | Adil M. Bagirov (u. a.) | Taschenbuch | xx | Englisch | 2021 | Springer | EAN 9783030378288 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Partitional Clustering via Nonsmooth Optimization : Clustering via Optimization
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030378284 ISBN 13: 9783030378288
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization.
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Paperback. Condition: New. New. book.
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Partitional Clustering via Nonsmooth Optimization : Clustering via Optimization
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland Dez 2024, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challengesarising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization.
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Partitional Clustering via Nonsmooth Optimization
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland Dez 2024, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Neuware -This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the ¿eld and it is well suited for practitioners already familiar with the basics of optimization.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 416 pp. Englisch.
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Hardcover. Condition: Brand New. 2nd edition. 350 pages. 9.26x6.11x9.21 inches. In Stock.
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Partitional Clustering via Nonsmooth Optimization
Language: English
Published by Springer International Publishing Feb 2021, 2021
ISBN 10: 3030378284 ISBN 13: 9783030378288
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization. 356 pp. Englisch.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Partitional Clustering via Nonsmooth Optimization
Language: English
Published by Springer International Publishing, 2021
ISBN 10: 3030378284 ISBN 13: 9783030378288
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Adil M. Bagirov is currently an Associate Professor at School of Science, Engineering and Information Technology, Federation University Australia, Ballarat, Australia. He received a master degree in Applied Mathematics from Baku State Univers.
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Partitional Clustering via Nonsmooth Optimization
Language: English
Published by Springer Nature Switzerland Dez 2024, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challengesarising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization. 416 pp. Englisch.
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Partitional Clustering via Nonsmooth Optimization (Hardcover)
Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Hardcover. Condition: new. Hardcover. This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the eld and it is well suited for practitioners already familiar with the basics of optimization. This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
