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000754387 020__ $$a9781447167938$$q(electronic book)
000754387 020__ $$a1447167937$$q(electronic book)
000754387 020__ $$z9781447167914
000754387 0247_ $$a10.1007/978-1-4471-6793-8$$2doi
000754387 035__ $$aSP(OCoLC)ocn945632714
000754387 035__ $$aSP(OCoLC)945632714
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000754387 049__ $$aISEA
000754387 050_4 $$aQA164
000754387 08204 $$a511/.6$$223
000754387 1001_ $$aLerman, Israël César,$$eauthor.
000754387 24510 $$aFoundations and methods in combinatorial and statistical data analysis and clustering$$h[electronic resource] /$$cIsraël César Lerman.
000754387 264_1 $$aLondon :$$bSpringer,$$c[2016]
000754387 264_4 $$c©2016
000754387 300__ $$a1 online resource.
000754387 336__ $$atext$$btxt$$2rdacontent
000754387 337__ $$acomputer$$bc$$2rdamedia
000754387 338__ $$aonline resource$$bcr$$2rdacarrier
000754387 4901_ $$aAdvanced information and knowledge processing
000754387 504__ $$aIncludes bibliographical references.
000754387 506__ $$aAccess limited to authorized users.
000754387 520__ $$aThis book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field. With extensive introductions, formal and mathematical developments and real case studies, this book provides readers with a deeper understanding of the mutual relationships between these methods, which are clearly expressed with respect to three facets: logical, combinatorial and statistical. Using relational mathematical representation, all types of data structures can be handled in precise and unified ways which the author highlights in three stages: Clustering a set of descriptive attributes Clustering a set of objects or a set of object categories Establishing correspondence between these two dual clusterings Tools for interpreting the reasons of a given cluster or clustering are also included. Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering will be a valuable resource for students and researchers who are interested in the areas of Data Analysis, Clustering, Data Mining and Knowledge Discovery.
000754387 588__ $$aOnline resource; title from PDF title page (viewed March 30, 2016)
000754387 650_0 $$aCombinatorial analysis.
000754387 650_0 $$aDocument clustering.
000754387 650_0 $$aQuantitative research.
000754387 77608 $$iPrint version:$$z9781447167914
000754387 830_0 $$aAdvanced information and knowledge processing.
000754387 852__ $$bebk
000754387 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4471-6793-8$$zOnline Access$$91397441.1
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000754387 980__ $$aEBOOK
000754387 980__ $$aBIB
000754387 982__ $$aEbook
000754387 983__ $$aOnline
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