Isbn: 9783031765117 - partitional clustering via nonsmooth optimization: clustering via optimization (unsupervised and semi-supervised learning) (18 resultados)

Encuadernación de tapa dura. Condición: Muy Bien. 2� Edición.

Encuadernación de tapa dura. Condición: Muy Bien. 2� Edición.

hardcover. Condición: Very Good.

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Buch. Condición: 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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Hardcover. Condición: Brand New. 2nd edition. 350 pages. 9.26x6.11x9.21 inches. In Stock.

Hardcover. Condición: gut. 2024. Partitional Clustering via Nonsmooth Optimization In deutscher Sprache. pages.

Condición: new. Questo è un articolo print on demand.

Buch. Condición: 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.…

Condición: New. Print on Demand.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 416 pp. Englisch.…

Condición: New. PRINT ON DEMAND.