TY  - BOOK
AU  - Zhu,Lei
AU  - Li,Jingjing
AU  - Zhang,Zheng
ED  - SpringerLink (Online service)
TI  - Dynamic Graph Learning for Dimension Reduction and Data Clustering
T2  - Synthesis Lectures on Computer Science,
SN  - 9783031423130
AV  - Q325.5-.7 
PY  - 2024///
CY  - Cham
PB  - Springer Nature Switzerland, Imprint: Springer
KW  - Machine learning
KW  - Artificial intelligence
KW  - Data processing
KW  - Computer science
KW  - Application software
KW  - Mathematics
KW  - Machine Learning
KW  - Artificial Intelligence
KW  - Data Science
KW  - Computer Science
KW  - Computer and Information Systems Applications
KW  - Mathematical Applications in Computer Science
N1  - Introduction -- Dynamic Graph Learning for Feature Projection -- Dynamic Graph Learning for Feature Selection -- Dynamic Graph Learning for Data Clustering -- Research Frontiers
N2  - 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
UR  - https://doi.org/10.1007/978-3-031-42313-0
ER  -