Dynamic Graph Learning for Dimension Reduction and Data Clustering
2024 ed.
Book Details
Format
Paperback / Softback
Book Series
Synthesis Lectures on Computer Science
ISBN-10
3031423151
ISBN-13
9783031423154
Edition
2024 ed.
Publisher
Springer International Publishing AG
Imprint
Springer International Publishing AG
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 23rd, 2024
Print length
143 Pages
Ksh 6,300.00
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The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area.
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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