Dynamic Graph Learning for Dimension Reduction and Data Clustering

The book "Dynamic Graph Learning for Dimension Reduction and Data Clustering" offers a comprehensive introduction to the techniques of dimension reduction and data clustering using advanced methods of dynamic graph learning. The authors, Zheng Zhang, Lei Zhu, and Jingjing Li, explain the fundamentals of dynamic graph learning and its increasing significance in research, particularly in the context of Big Data. The book covers key topics and recent advancements in this field and demonstrates how these techniques can be practically applied to optimize tasks such as feature selection, feature projection, and data clustering. It is aimed at professionals and students who wish to develop a deeper understanding of modern approaches in data analysis and processing.