Constrained Clustering: Advances in Algorithms, Theory, and Applications (1) (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

By: Ian Muehlenhaus

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Synopsis: This volume encompasses many new types of constraints and clustering methods as well as delivers thorough coverage of the capabilities and limitations of constrained clustering. With contributions from industrial researchers and leading academic experts who pioneered the field, it provides a well-balanced combination of theoretical advances, key algorithmic development, and novel applications. The book presents various types of constraints for clustering and describes useful variations of the standard problem of clustering under constraints. It also demonstrates the application of clustering with constraints to relational, bibliographic, and video data.

Book Quality:: Publisher Quality
Book Size:: 472 Pages
ISBN-13:: 9781040205709
Related ISBNs:: 9781584889977, 9781584889960, 9780367830397, 9780429137495
Publisher:: CRC Press
Date of Addition:: 01/26/25
Copyrighted By:: Taylor & Francis Group, LLC
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Business and Finance, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.
Edited by:: Sugato Basu
Edited by:: Ian Davidson
Edited by:: Kiri Wagstaff