Clustering problems in optimization models
dc.contributor.author | Kabadi, Santosh N. | en_US |
dc.contributor.author | Murty, Katta G. | en_US |
dc.contributor.author | Spera, Cosimo | en_US |
dc.date.accessioned | 2006-09-11T14:39:45Z | |
dc.date.available | 2006-09-11T14:39:45Z | |
dc.date.issued | 1996-08 | en_US |
dc.identifier.citation | Kabadi, 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.issn | 0927-7099 | en_US |
dc.identifier.issn | 1572-9974 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/44350 | |
dc.description.abstract | We 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.extent | 598650 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Clustering | en_US |
dc.subject.other | Economics / Management Science | en_US |
dc.subject.other | Economic Theory | en_US |
dc.subject.other | Operation Research/Decision Theory | en_US |
dc.subject.other | Combinatorial Optimization | en_US |
dc.subject.other | Classifying Objects | en_US |
dc.subject.other | Classification Criteria | en_US |
dc.subject.other | Modeling | en_US |
dc.title | Clustering problems in optimization models | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Economics | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Business | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Dep. of IOE, Univ. of Michigan, 48109-2117, Ann Arbor, MI, USA; Hong Kong, University of Science and Technology, Hongkong | en_US |
dc.contributor.affiliationother | Business School, University of New Brunswick, E3A 1K8, Fredericton, New Brunswick, Canada | en_US |
dc.contributor.affiliationother | Dep. of Quantitative Methods, Univesity of Siena, p.zza San Francesco, 53100, Siena, Italy | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/44350/1/10614_2004_Article_BF00121636.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF00121636 | en_US |
dc.identifier.source | Computational Economics | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.