Dynamic Graph Learning for Dimension Reduction and Data Clustering (Synthesis Lectures on Computer Science) - Hardcover
- PublisherSpringer
- Publication date2023
- ISBN 10 3031423127
- ISBN 13 9783031423123
- BindingHardcover
- Edition number1
- Number of pages164
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Dynamic Graph Learning for Dimension Reduction and Data Clustering
Published by
Springer Nature Switzerland Okt 2023, 2023
ISBN 10: 3031423127
ISBN 13: 9783031423123
New
Hardcover
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 book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering. 168 pp. Englisch. Seller Inventory # 9783031423123
Quantity: 2 available
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Dynamic Graph Learning for Dimension Reduction and Data Clustering
Published by
Springer Nature Switzerland, Springer International Publishing, 2023
ISBN 10: 3031423127
ISBN 13: 9783031423123
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering. Seller Inventory # 9783031423123
Quantity: 1 available
Seller Image
Dynamic Graph Learning for Dimension Reduction and Data Clustering
Published by
Springer Nature Switzerland, 2023
ISBN 10: 3031423127
ISBN 13: 9783031423123
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides thorough background information on dynamic graph learning and the recent advancements in the areaDescribes the benefits of utilizing dynamic graph learning, as compared to a fixed graph approachCovers several practical applications. Seller Inventory # 945398625
Quantity: Over 20 available