Da: RAMÓN PIGNATELLI, Zaragoza, Z, Spagna
EUR 23,13
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Aggiungi al carrelloEncuadernación de tapa dura. Condizione: Muy Bien. 2? Edición.
Da: RAMÓN PIGNATELLI, Zaragoza, Z, Spagna
EUR 23,13
Quantità: 1 disponibili
Aggiungi al carrelloEncuadernación de tapa dura. Condizione: Muy Bien. 2? Edición.
hardcover. Condizione: Very Good.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 147,32
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Aggiungi al carrelloCondizione: New. In.
Da: California Books, Miami, FL, U.S.A.
EUR 168,60
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland Dez 2024, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 149,79
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland Dez 2024, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 149,79
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: Revaluation Books, Exeter, Regno Unito
EUR 224,04
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Aggiungi al carrelloHardcover. Condizione: Brand New. 2nd edition. 350 pages. 9.26x6.11x9.21 inches. In Stock.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 118,26
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Switzerland Dez 2024, 2024
ISBN 10: 3031765117 ISBN 13: 9783031765117
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 149,79
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.
Da: preigu, Osnabrück, Germania
EUR 132,10
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Partitional Clustering via Nonsmooth Optimization | Clustering via Optimization | Adil Bagirov (u. a.) | Buch | xx | Englisch | 2024 | Springer | EAN 9783031765117 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.