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Artigos
Capa

PARTITIONAL CLUSTERING VIA NONSMOOTH OPTIMIZATION IBD

ADIL BAGIROV / NAPSU KARMITSA / SONA TAHERI
SPRINGER
01 / 2025
9783031765117
Inglês

Sinopse

This updated 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 authorsâÇÖ 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 challengesáarising from very large data and data with noise and outliers. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the ï¬üeld and it is well suited for practitioners already familiar with the basics of optimization.