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Da: California Books, Miami, FL, U.S.A.
EUR 214,39
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Da: GreatBookPrices, Columbia, MD, U.S.A.
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 214,87
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 224,79
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 201,36
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores cutting-edge machine learning and clustering techniques to tackle critical challenges in engineering, environmental science, and sustainability. The book provides an in-depth examination of clustering methodologies, covering unsupervised and supervised techniques, data preprocessing, distance metrics, and cluster validation methods such as the elbow and silhouette techniques.Readers will find practical insights into applying these methods to real-world problems, including clustering greenhouse gas emissions, optimizing energy systems, and analyzing the energy-food nexus in the context of global crises. By integrating theoretical foundations with hands-on applications, this book serves as a valuable resource for researchers, engineers, and professionals seeking data-driven solutions for sustainability challenges.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2025
ISBN 10: 3032038758 ISBN 13: 9783032038753
Da: Revaluation Books, Exeter, Regno Unito
EUR 281,81
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 300 pages. 9.26x6.11x9.21 inches. In Stock.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 150,28
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Lingua: Inglese
Editore: Springer, Springer Sep 2025, 2025
ISBN 10: 3032038758 ISBN 13: 9783032038753
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 192,59
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores cutting-edge machine learning and clustering techniques to tackle critical challenges in engineering, environmental science, and sustainability. The book provides an in-depth examination of clustering methodologies, covering unsupervised and supervised techniques, data preprocessing, distance metrics, and cluster validation methods such as the elbow and silhouette techniques.Readers will find practical insights into applying these methods to real-world problems, including clustering greenhouse gas emissions, optimizing energy systems, and analyzing the energy-food nexus in the context of global crises. By integrating theoretical foundations with hands-on applications, this book serves as a valuable resource for researchers, engineers, and professionals seeking data-driven solutions for sustainability challenges.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 368 pp. Englisch.
Lingua: Inglese
Editore: Springer Nature Switzerland AG, Cham, 2025
ISBN 10: 3032038758 ISBN 13: 9783032038753
Da: CitiRetail, Stevenage, Regno Unito
EUR 214,88
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. This book explores cutting-edge machine learning and clustering techniques to tackle critical challenges in engineering, environmental science, and sustainability. The book provides an in-depth examination of clustering methodologies, covering unsupervised and supervised techniques, data preprocessing, distance metrics, and cluster validation methods such as the elbow and silhouette techniques.Readers will find practical insights into applying these methods to real-world problems, including clustering greenhouse gas emissions, optimizing energy systems, and analyzing the energy-food nexus in the context of global crises. By integrating theoretical foundations with hands-on applications, this book serves as a valuable resource for researchers, engineers, and professionals seeking data-driven solutions for sustainability challenges. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Da: Majestic Books, Hounslow, Regno Unito
EUR 275,01
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 271,31
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