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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorCHAVENT, Marie
dc.date.accessioned2024-04-04T02:53:37Z
dc.date.available2024-04-04T02:53:37Z
dc.date.issued2005-05
dc.date.conference2005-05
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192191
dc.description.abstractEnInterval variables can be measured on very different scales. We first remind a general methodology used for measuring the dispersion of a variable from an optimal center and we define two measures of dispersions associated to two optimal "centers" for interval variables. Then we study the relations between the standardization of a data table and the use in clustering of a normalized distance. Finally we define two normalized distances between hyper-rectangles and their use in two normalized k-means clustering algorithms.
dc.language.isoen
dc.source.titleProceedings of the XIth International Symposium of Applied Stochastic Models and Data Analysis
dc.title.enNormalized k-means clustering of hyper-rectangles
dc.typeCommunication dans un congrès
dc.subject.halStatistiques [stat]/Autres [stat.ML]
bordeaux.page-
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleASMDA 2005
bordeaux.countryFR
bordeaux.title.proceedingProceedings of the XIth International Symposium of Applied Stochastic Models and Data Analysis
bordeaux.conference.cityBrest
bordeaux.peerReviewedoui
hal.identifierhal-00278293
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceNon spécifiée
dc.subject.itInterval data
dc.subject.itStandardization
dc.subject.itNormalized Hausdorff distance
dc.subject.itClus- tering
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00278293v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Proceedings%20of%20the%20XIth%20International%20Symposium%20of%20Applied%20Stochastic%20Models%20and%20Data%20Analysis&rft.date=2005-05&rft.spage=-&rft.epage=-&rft.au=CHAVENT,%20Marie&rft.genre=unknown


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