Partitional Clustering via Nonsmooth Optimization

Partitional Clustering via Nonsmooth Optimization
Author :
Publisher : Springer Nature
Total Pages : 343
Release :
ISBN-10 : 9783030378264
ISBN-13 : 3030378268
Rating : 4/5 (268 Downloads)

Book Synopsis Partitional Clustering via Nonsmooth Optimization by : Adil M. Bagirov

Download or read book Partitional Clustering via Nonsmooth Optimization written by Adil M. Bagirov and published by Springer Nature. This book was released on 2020-02-24 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization.


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