| DOI | Trouver le DOI : https://doi.org/10.1007/978-3-319-25210-0_19 |
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| Auteur | Rechercher : LaPlante, François; Rechercher : Belacel, Nabil1; Rechercher : Kardouchi, Mustapha |
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| Affiliation | - Conseil national de recherches du Canada. Technologies de l'information et des communications
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| Format | Texte, Chapitre de livre |
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| Conférence | 6th International Conference, ICAART 2014, March 6-8, 2014, Angers, France |
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| Sujet | data mining; automatic clustering; unsupervised learning |
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| Résumé | We propose a clustering method which produces valid results while automatically determining an optimal number of clusters. The proposed method achieves these results with minimal user input, of which none pertains to a number of clusters. Our method’s effectiveness in clustering, including its ability to produce valid results on data sets presenting nested or interlocking shapes, is demonstrated and compared with cluster validity analysis to other methods to which a known optimal number of clusters is provided, and to other automatic clustering methods. Depending on the particularities of the data set used, our method has produced results which are roughly equivalent or better than those of the compared methods. |
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| Date de publication | 2015 |
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| Série | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 23000657 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 4bc10ce2-e257-4526-b42f-74ed8e6a3002 |
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| Enregistrement créé | 2016-08-18 |
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| Enregistrement modifié | 2020-06-11 |
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