Adil M Bagirov

(Author)

Partitional Clustering Via Nonsmooth Optimization: Clustering Via Optimization (2020)Hardcover - 2020, 25 February 2020

Partitional Clustering Via Nonsmooth Optimization: Clustering Via Optimization (2020)
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Part of Series
Unsupervised and Semi-Supervised Learning
Print Length
336 pages
Language
English
Publisher
Springer
Date Published
25 Feb 2020
ISBN-10
303037825X
ISBN-13
9783030378257

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.

Product Details

Authors:
Adil M BagirovNapsu KarmitsaSona Taheri
Book Edition:
2020
Book Format:
Hardcover
Country of Origin:
NL
Date Published:
25 February 2020
Dimensions:
23.39 x 15.6 x 2.06 cm
ISBN-10:
303037825X
ISBN-13:
9783030378257
Language:
English
Location:
Cham
Pages:
336
Publisher:
Weight:
675.85 gm

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