Description: 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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EAN: 9783030378257
UPC: 9783030378257
ISBN: 9783030378257
MPN: N/A
Book Title: Partitional Clustering via Nonsmooth Optimization:
Item Length: 23.4 cm
Number of Pages: 336 Pages
Language: English
Publication Name: Partitional Clustering Via Nonsmooth Optimization: Clustering Via Optimization
Publisher: Springer Nature Switzerland Ag
Publication Year: 2020
Subject: Mathematics
Item Height: 235 mm
Item Weight: 699 g
Type: Textbook
Author: Adil M. Bagirov, Sona Taheri, Napsu Karmitsa
Item Width: 155 mm
Format: Hardcover
