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ClustGeo : Classification Ascendante Hiérarchique (CAH) avec contraintes de proximitté géographique

hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorCHAVENT, Marie
hal.structure.identifierEnvironnement, territoires et infrastructures [UR ETBX]
dc.contributor.authorKUENTZ-SIMONET, Vanessa
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierEnvironnement, territoires et infrastructures [UR ETBX]
dc.contributor.authorLABENNE, Amaury
hal.structure.identifierQuality control and dynamic reliability [CQFD]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierEcole Nationale Supérieure de Cognitique [ENSC]
dc.contributor.authorSARACCO, Jerome
dc.date.accessioned2024-04-04T03:16:38Z
dc.date.available2024-04-04T03:16:38Z
dc.date.conference2015-06-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194233
dc.description.abstractEnHierarchical Ascendant Clustering (HAC) is a well-known method of individual clustering. This method aims to bring together individuals who are similar regarding to variables which describe them. But when individuals are geographical units, the user may wish geographically close individuals to be put in same clusters and that, without too much deteriorating the quality of the partition. The proposed ClustGeo method allows geographical constraints of proximity to be taken into account within the HAC. For that purpose, a new Ward homogeneity criterion based on two different matrices of distances is proposed.
dc.language.isofr
dc.titleClustGeo : Classification Ascendante Hiérarchique (CAH) avec contraintes de proximitté géographique
dc.title.enClustGeo: Ascendant Hierarchical Clustering (AHC) with geographical constraints
dc.typeCommunication dans un congrès
dc.subject.halStatistiques [stat]/Machine Learning [stat.ML]
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.subject.halStatistiques [stat]/Méthodologie [stat.ME]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.title47èmes Journées de Statistique de la SFdS
bordeaux.countryFR
bordeaux.conference.cityLille
bordeaux.peerReviewedoui
hal.identifierhal-01246856
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceNationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01246856v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=ClustGeo%20:%20Classification%20Ascendante%20Hi%C3%A9rarchique%20(CAH)%20avec%20contraintes%20de%20proximitt%C3%A9%20g%C3%A9ographique&rft.atitle=ClustGeo%20:%20Classification%20Ascendante%20Hi%C3%A9rarchique%20(CAH)%20avec%20contraintes%20de%20proximitt%C3%A9%20g%C3%A9ographique&rft.au=CHAVENT,%20Marie&KUENTZ-SIMONET,%20Vanessa&LABENNE,%20Amaury&SARACCO,%20Jerome&rft.genre=unknown


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