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In den WarenkorbZustand: New. pp. 266.
Sprache: Englisch
Verlag: John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119551595 ISBN 13: 9781119551591
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Hardcover. Zustand: new. Hardcover. An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authorsnoted experts on the topicprovide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering. The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text: Includes performance analysis of the hybrid metaheuristics as related to their conventional counterpartsOffers an in-depth analysis of a range of optimization algorithmsHighlights a review of data clusteringContains a detailed overview of different standard metaheuristics in current usePresents a step-by-step guide to the build-up of hybrid metaheuristicsOffers real-life case studies and applications Written for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques. "The book will elaborate on the fundamentals of different meta-heuristics and their application to data clustering. As a result, it will pave the way for designing and developing hybrid meta-heuristics to be applied to data clustering"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Verlag: Elsevier Science & Technology, 2022
ISBN 10: 0323857086 ISBN 13: 9780323857086
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Verlag: Elsevier Science Publishing Co Inc, 2020
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Taschenbuch. Zustand: Neu. Advanced Data Mining Tools and Methods for Social Computing | Sourav De (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Academic Press | EAN 9780323857086 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Taschenbuch. Zustand: Neu. Advanced Machine Vision Paradigms for Medical Image Analysis | Tapan K. Gandhi (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | Academic Press | EAN 9780128192955 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Sprache: Englisch
Verlag: John Wiley & Sons Inc, New York, 2020
ISBN 10: 1119551595 ISBN 13: 9781119551591
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In den WarenkorbHardcover. Zustand: new. Hardcover. An authoritative guide to an in-depth analysis of various state-of-the-art data clustering approaches using a range of computational intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics and their application to data clustering. Metaheuristics are designed to tackle complex clustering problems where classical clustering algorithms have failed to be either effective or efficient. The authorsnoted experts on the topicprovide a text that can aid in the design and development of hybrid metaheuristics to be applied to data clustering. The book includes performance analysis of the hybrid metaheuristics in relationship to their conventional counterparts. In addition to providing a review of data clustering, the authors include in-depth analysis of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension. In addition, the book contains a range of real-life case studies and their applications. This important text: Includes performance analysis of the hybrid metaheuristics as related to their conventional counterpartsOffers an in-depth analysis of a range of optimization algorithmsHighlights a review of data clusteringContains a detailed overview of different standard metaheuristics in current usePresents a step-by-step guide to the build-up of hybrid metaheuristicsOffers real-life case studies and applications Written for researchers, students and academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that explores the current data clustering approaches using a range of computational intelligence techniques. "The book will elaborate on the fundamentals of different meta-heuristics and their application to data clustering. As a result, it will pave the way for designing and developing hybrid meta-heuristics to be applied to data clustering"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbGebunden. Zustand: New. Sourav De, PhD, is an Associate Professor of Computer Science and Engineering at Cooch Behar Government Engineering College, West Bengal, India.Sandip Dey, PhD, is an Assistant Professor of Computer Science at Sukanta Mahavidyalaya, Dhupguri, Jalpaiguri, In.
Zustand: New. 2020. 1st Edition. Hardcover. . . . . . Books ship from the US and Ireland.