Dynamic Graph Learning for Dimension Reduction and Data Clustering
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ISBN-13:
9783031423123
Veröffentl:
2023
Einband:
HC runder Rücken kaschiert
Erscheinungsdatum:
22.09.2023
Seiten:
168
Autor:
Lei Zhu
Gewicht:
469 g
Format:
246x173x15 mm
Serie:
Synthesis Lectures on Computer Science
Sprache:
Englisch
Beschreibung:
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.
Provides thorough background information on dynamic graph learning and the recent advancements in the area
Introduction.- Dynamic Graph Learning for Feature Projection.- Dynamic Graph Learning for Feature Selection.- Dynamic Graph Learning for Data Clustering.- Research Frontiers.
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