New Clustering methods for interval data
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | CHAVENT, Marie | |
| hal.structure.identifier | Centro de Informatica UFPE [Recife] [CIn] | |
| dc.contributor.author | DE CARVAHLO, Francisco De A.T. | |
| hal.structure.identifier | Usage-centered design, analysis and improvement of information systems [AxIS] | |
| dc.contributor.author | LECHEVALLIER, Yves | |
| hal.structure.identifier | Dipartimento di Strategie Aziendali e Metodologie Quantitative | |
| dc.contributor.author | VERDE, Rosanna | |
| dc.date.accessioned | 2024-04-04T02:54:43Z | |
| dc.date.available | 2024-04-04T02:54:43Z | |
| dc.date.issued | 2006 | |
| dc.identifier.issn | 0943-4062 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192297 | |
| dc.description.abstractEn | In this paper we propose two clustering methods for interval data based on the dynamic cluster algorithm. These methods use different homogeneity criteria as well as different kinds of cluster representations (prototypes). Some tools to interpret the final partitions are also introduced. An application of one of the methods concludes the paper. | |
| dc.language.iso | en | |
| dc.publisher | Springer Verlag | |
| dc.title.en | New Clustering methods for interval data | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1007/s00180-006-0260-0 | |
| dc.subject.hal | Statistiques [stat]/Autres [stat.ML] | |
| dc.subject.hal | Informatique [cs]/Apprentissage [cs.LG] | |
| bordeaux.journal | Computational Statistics | |
| bordeaux.page | 211-229 | |
| bordeaux.volume | 21 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-00260959 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Non spécifiée | |
| dc.subject.it | Dynamic clustering | |
| dc.subject.it | interval data | |
| dc.subject.it | distances | |
| dc.subject.it | prototypes | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-00260959v1 | |
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