Clustering: Theoretical and Practical Aspects

By Dan A. Simovici

This unique compendium gives an updated presentation of clustering, one of the most challenging tasks in machine learning. The book provides a unitary presentation of classical and contemporary algorithms ranging from partitional and hierarchical clustering up to density-based clustering, clustering of categorical data, and spectral clustering.Most of the mathematical background is provided in appendices, highlighting algebraic and complexity theory, in order to make this volume as self-contained as possible. A substantial number of exercises and supplements makes this a useful reference textbook for researchers and students.

• Format: Hardcover
• Language: English
• ISBN: 9811241198
• ISBN13: 9789811241192
• Release Date: August 2021
• Publisher: World Scientific Publishing Company
• Length: 884 Pages
• Weight: 2.95 lbs.
• Dimensions: 1.8" x 6.0" x 9.0"