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Classification de variables avec la méthode PCAMIX

hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorCHAVENT, Marie
hal.structure.identifierAménités et dynamiques des espaces ruraux [UR ADBX]
dc.contributor.authorKUENTZ, V.
hal.structure.identifierUniversité de Bordeaux [UB]
dc.contributor.authorLIQUET, B.
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorSARACCO, Jérôme
dc.date.accessioned2024-04-04T02:54:50Z
dc.date.available2024-04-04T02:54:50Z
dc.date.issued2011
dc.date.conference2011-07-11
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192309
dc.description.abstractEnClustering of variables is as a way to arrange variables into homogeneous clusters i.e. groups of variables which are strongly related to each other and thus bring the same information. Clustering of variables can then be useful for dimension reduction and variable selection. Several specific methods have been developed for the clustering of numerical variables. However concerning qualitative variables or mixtures of quantitative and qualitative variables, much less methods have been proposed. The ClustOfVar package has then been developped specifically for that purpose. The homogeneity criterion of a cluster is the sum of correlation ratios (for qualitative variables) and squared correlations (for quantitative variables) to a synthetic variable, summarizing as good as possible the variables in the cluster. This synthetic variable is the first principal component obtained with the PCAMIX method. Two algorithms for the clustering of variables are proposed: iterative relocation algorithm, ascendant hierarchical clustering. We also propose a bootstrap approach to determine suitable numbers of clusters. The proposed methodologies are illustrated on real datasets.
dc.language.isoen
dc.titleClassification de variables avec la méthode PCAMIX
dc.title.enClustering of variables via the PCAMIX method
dc.typeCommunication dans un congrès
dc.subject.halSciences de l'environnement
bordeaux.page1
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleInternational Classication Conference
bordeaux.countryGB
bordeaux.conference.citySt Andrews
bordeaux.peerReviewednon
hal.identifierhal-02596072
hal.version1
hal.invitednon
hal.proceedingsnon
hal.conference.end2011-07-15
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02596072v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=Classification%20de%20variables%20avec%20la%20m%C3%A9thode%20PCAMIX&rft.atitle=Classification%20de%20variables%20avec%20la%20m%C3%A9thode%20PCAMIX&rft.date=2011&rft.spage=1&rft.epage=1&rft.au=CHAVENT,%20Marie&KUENTZ,%20V.&LIQUET,%20B.&SARACCO,%20J%C3%A9r%C3%B4me&rft.genre=unknown


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