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000929651 019__ $$a1142518968$$a1142755186
000929651 020__ $$a9783030378264
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000929651 0248_ $$a10.1007/978-3-030-37
000929651 035__ $$aSP(OCoLC)on1142374813
000929651 035__ $$aSP(OCoLC)1142374813$$z(OCoLC)1142518968$$z(OCoLC)1142755186
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000929651 050_4 $$aQA402.5
000929651 08204 $$a519.6$$223
000929651 08204 $$a621.382
000929651 1001_ $$aBagirov, Adil M.
000929651 24510 $$aPartitional Clustering via Nonsmooth Optimization :$$bClustering via Optimization /$$cby Adil M. Bagirov, Napsu Karmitsa, Sona Taheri.
000929651 264_1 $$aCham :$$bSpringer,$$c2020.
000929651 300__ $$a1 online resource (xx, 336 pages) :$$billustrations.
000929651 336__ $$atext$$btxt$$2rdacontent
000929651 337__ $$acomputer$$bc$$2rdamedia
000929651 338__ $$aonline resource$$bcr$$2rdacarrier
000929651 4901_ $$aUnsupervised and semi-supervised learning,$$x2522-848X
000929651 5050_ $$aIntroduction -- Introduction to Clustering -- Clustering Algorithms -- Nonsmooth Optimization Models in Cluster Analysis -- Nonsmooth Optimization -- Optimization based Clustering Algorithms -- Implementation and Numerical Results -- Conclusion.
000929651 506__ $$aAccess limited to authorized users.
000929651 520__ $$aThis book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications. The book gives a comprehensive and detailed description of optimization approaches for solving clustering problems; the authors' emphasis on clustering algorithms is based on deterministic methods of optimization. The book also includes results on real-time clustering algorithms based on optimization techniques, addresses implementation issues of these clustering algorithms, and discusses new challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to the field and it is well suited for practitioners already familiar with the basics of optimization. Provides a comprehensive description of clustering algorithms based on nonsmooth and global optimization techniques Addresses problems of real-time clustering in large data sets and challenges arising from big data Describes implementation and evaluation of optimization based clustering algorithms.
000929651 650_0 $$aNonsmooth optimization.
000929651 7001_ $$aKarmitsa, Napsu.
000929651 7001_ $$aTaheri, Sona.
000929651 77608 $$iPrint version:$$z303037825X$$z9783030378257$$w(OCoLC)1128729396
000929651 830_0 $$aUnsupervised and semi-supervised learning.
000929651 852__ $$bebk
000929651 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-37826-4$$zOnline Access$$91397441.1
000929651 909CO $$ooai:library.usi.edu:929651$$pGLOBAL_SET
000929651 980__ $$aEBOOK
000929651 980__ $$aBIB
000929651 982__ $$aEbook
000929651 983__ $$aOnline
000929651 994__ $$a92$$bISE