01486nam2-2200457---450-9900003132702033160031327USA010031327(ALEPH)000031327USA01003132720001213d1996----km-y0itay0103----baengDE||||||||001yyFunctional analysisY.M. Berezansky, Z.G. Sheftel, G.S. Us<traduzione dal russo di Peter V. Malyshev>BaselBirkhauser Verlagc1996XIX, 423 p.ill.20 cmOperator theory advances and applicationsOperator theory advances and applications001200100100313262001Functional analysisAnalisi funzionale515.7BEREZANSKY,Yurij M.542403SHEFTEL,Z.G.542404US,Georgij F.60795ITCBSISBD990000313270203316515.7 BER (1)0025529 CBS51500100423BKSCITAMI4020001213USA011144TAMI4020001213USA011144TAMI4020001213USA011147TAMI4020001213USA011149TAMI4020001213USA011541ALANDI9020010709USA01102020020403USA011639PATRY9020040406USA011622Functional analysis879230UNISA04486nam 22007935 450 991037782210332120250609112108.09783030378264303037826810.1007/978-3-030-37826-4(CKB)4100000010473874(DE-He213)978-3-030-37826-4(MiAaPQ)EBC6121775(PPN)242980910(MiAaPQ)EBC6122063(EXLCZ)99410000001047387420200224d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierPartitional Clustering via Nonsmooth Optimization Clustering via Optimization /by Adil M. Bagirov, Napsu Karmitsa, Sona Taheri1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (XX, 336 p. 78 illus., 77 illus. in color.) Unsupervised and Semi-Supervised Learning,2522-848X9783030378257 303037825X Includes bibliographical references and index.Introduction -- Introduction to Clustering -- Clustering Algorithms -- Nonsmooth Optimization Models in Cluster Analysis -- Nonsmooth Optimization -- Optimization based Clustering Algorithms -- Implementation and Numerical Results -- Conclusion.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. Provides a comprehensive description of clustering algorithms based on nonsmooth and global optimization techniques Addresses problems of real-time clustering in large data sets and challenges arising from big data Describes implementation and evaluation of optimization based clustering algorithms.Unsupervised and Semi-Supervised Learning,2522-848XElectrical engineeringPattern perceptionSignal processingImage processingSpeech processing systemsArtificial intelligenceData miningCommunications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XSignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Electrical engineering.Pattern perception.Signal processing.Image processing.Speech processing systems.Artificial intelligence.Data mining.Communications Engineering, Networks.Pattern Recognition.Signal, Image and Speech Processing.Artificial Intelligence.Data Mining and Knowledge Discovery.515.64515.64M. Bagirov Adilauthttp://id.loc.gov/vocabulary/relators/aut981961Karmitsa Napsuauthttp://id.loc.gov/vocabulary/relators/autTaheri Sonaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910377822103321Partitional Clustering via Nonsmooth Optimization2241102UNINA