Zhu, Lei. creator author. aut http://id.loc.gov/vocabulary/relators/aut Li, Jingjing. author. aut http://id.loc.gov/vocabulary/relators/aut Zhang, Zheng. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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electronic resource

access XXI, 143 p. 41 illus., 40 illus. in color. online resource. 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. Introduction -- Dynamic Graph Learning for Feature Projection -- Dynamic Graph Learning for Feature Selection -- Dynamic Graph Learning for Data Clustering -- Research Frontiers. by Lei Zhu, Jingjing Li, Zheng Zhang. Machine learning Artificial intelligence Artificial intelligence Data processing Computer science Application software Computer science Mathematics Machine Learning Artificial Intelligence Data Science Computer Science Computer and Information Systems Applications Mathematical Applications in Computer Science Q325.5-.7 9783031423130 https://doi.org/10.1007/978-3-031-42313-0 https://doi.org/10.1007/978-3-031-42313-0 230921 20251030110815.0 978-3-031-42313-0