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Clustering problems in optimization models

dc.contributor.authorKabadi, Santosh N.en_US
dc.contributor.authorMurty, Katta G.en_US
dc.contributor.authorSpera, Cosimoen_US
dc.date.accessioned2006-09-11T14:39:45Z
dc.date.available2006-09-11T14:39:45Z
dc.date.issued1996-08en_US
dc.identifier.citationKabadi, Santosh; Murty, Katta G.; Spera, Cosimo; (1996). "Clustering problems in optimization models." Computational Economics 9(3): 229-239. <http://hdl.handle.net/2027.42/44350>en_US
dc.identifier.issn0927-7099en_US
dc.identifier.issn1572-9974en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/44350
dc.description.abstractWe discuss a variety of clustering problems arising in combinatorial applications and in classifying objects into homogenous groups. For each problem we discuss solution strategies that work well in practice. We also discuss the importance of careful modelling in clustering problems.en_US
dc.format.extent598650 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherClusteringen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherEconomic Theoryen_US
dc.subject.otherOperation Research/Decision Theoryen_US
dc.subject.otherCombinatorial Optimizationen_US
dc.subject.otherClassifying Objectsen_US
dc.subject.otherClassification Criteriaen_US
dc.subject.otherModelingen_US
dc.titleClustering problems in optimization modelsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDep. of IOE, Univ. of Michigan, 48109-2117, Ann Arbor, MI, USA; Hong Kong, University of Science and Technology, Hongkongen_US
dc.contributor.affiliationotherBusiness School, University of New Brunswick, E3A 1K8, Fredericton, New Brunswick, Canadaen_US
dc.contributor.affiliationotherDep. of Quantitative Methods, Univesity of Siena, p.zza San Francesco, 53100, Siena, Italyen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/44350/1/10614_2004_Article_BF00121636.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF00121636en_US
dc.identifier.sourceComputational Economicsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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