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Dynamic Graph Learning for Dimension Reduction and Data Clustering

Language EnglishEnglish
Book Paperback
Book Dynamic Graph Learning for Dimension Reduction and Data Clustering Zheng Zhang
Libristo code: 46549712
Publishers Springer Nature Switzerland, September 2024
This book illustrates how to achieve effective dimension reduction and data clustering. The authors... Full description
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40.33 €
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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.

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About the book

Full name Dynamic Graph Learning for Dimension Reduction and Data Clustering
Author Zheng Zhang, Jingjing Li
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 168
EAN 9783031423154
ISBN 3031423151
Libristo code 46549712
Publishers Springer Nature Switzerland
Weight 294
Dimensions 168 x 240 x 10

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
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