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Approche de classification par la méthode PCAMIX
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | CHAVENT, Marie | |
| hal.structure.identifier | Aménités et dynamiques des espaces ruraux [UR ADBX] | |
| dc.contributor.author | KUENTZ, V. | |
| hal.structure.identifier | Université de Bordeaux [UB] | |
| dc.contributor.author | LIQUET, B. | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | SARACCO, Jérôme | |
| dc.date.accessioned | 2024-04-04T02:54:49Z | |
| dc.date.available | 2024-04-04T02:54:49Z | |
| dc.date.issued | 2011 | |
| dc.date.conference | 2011-08-31 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192308 | |
| dc.description.abstractEn | Clustering 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 specic 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 specically 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 rst 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.iso | en | |
| dc.title | Approche de classification par la méthode PCAMIX | |
| dc.title.en | Clustering of variables via the PCAMIX method | |
| dc.type | Communication dans un congrès | |
| dc.subject.hal | Sciences de l'environnement | |
| bordeaux.page | 1 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.conference.title | Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM) and the IFCS 2011 Symposium of the International Federation of Classification Societies (IFCS) | |
| bordeaux.country | DE | |
| bordeaux.conference.city | Frankfurt | |
| bordeaux.peerReviewed | non | |
| hal.identifier | hal-02596073 | |
| hal.version | 1 | |
| hal.invited | oui | |
| hal.proceedings | non | |
| hal.conference.end | 2011-09-02 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02596073v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=Approche%20de%20classification%20par%20la%20m%C3%A9thode%20PCAMIX&rft.atitle=Approche%20de%20classification%20par%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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