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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierQuality control and dynamic reliability [CQFD]
dc.contributor.authorCHAVENT, Marie
dc.contributor.editorPaula Brito
dc.contributor.editorGuy Cucumel
dc.contributor.editorPatrice Bertrand and Francisco de Carvalho
dc.date.issued2007
dc.description.abstractEnConsider a data table where n objects are described by p numerical variables and a qualitative variable with m categories. Interval data representation and interval data clustering methods are useful for clustering the m categories. We study in this paper a data set of fish contaminated with mercury. We will see how classical or interval data representation can be used for clustering the species of fish and not the fish themselves. We will compare the results obtained with the two approaches (classical or interval) in the particular case of this application in Ecotoxicology.
dc.language.isoen
dc.publisherSpringer Berlin Heidelberg
dc.source.titleSelected Contributions in Data Analysis and Classification
dc.typeChapitre d'ouvrage
dc.identifier.doi10.1007/978-3-540-73560-1_17
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.subject.halStatistiques [stat]/Autres [stat.ML]
bordeaux.page183-191
bordeaux.title.proceedingSelected Contributions in Data Analysis and Classification
hal.identifierhal-00273178
hal.version1
hal.popularnon
hal.audienceNon spécifiée
dc.title.itSpecies Clustering via Classical and Interval Data Representation
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00273178v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Selected%20Contributions%20in%20Data%20Analysis%20and%20Classification&rft.date=2007&rft.spage=183-191&rft.epage=183-191&rft.au=CHAVENT,%20Marie&rft.genre=unknown


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