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| HAL : hal-00413148, version 1 |
| arXiv : 0909.0638 |
| DOI : 10.1007/978-3-642-01805-3_6 |
| Fiche détaillée |  Récupérer au format |
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| Similarity-Based Clustering, Villmann, Th.; Biehl, M.; Hammer, B.; Verleysen, M. (Ed.) (2009) 92-117 |
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| Median topographic maps for biomedical data sets |
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| Barbara Hammer 1Alexander Hasenfuß 1 |
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| (05/2009) |
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| Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix only. This offers flexible and robust global data inspection methods which are particularly suited for a variety of data as occurs in biomedical domains. In this chapter, we give an overview about median clustering and its properties and extensions, with a particular focus on efficient implementations adapted to large scale data analysis. |
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| 1 : | Institute of Computer Science |
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Institute of Computer Science – Clausthal University of Technology |
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| 2 : | Laboratoire traitement et communication de l'information (LTCI) |
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CNRS : UMR5141 – Institut Télécom – Télécom ParisTech |
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| Domaine | : | Informatique/Apprentissage Informatique/Bio-informatique Sciences du Vivant/Bio-Informatique, Biologie Systémique |
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| Clustering – Neural Gas – Pairwise data – Dissimilarity data – Medoid |
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| Liste des fichiers attachés à ce document : | ||||||||||
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| hal-00413148, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00413148 | |
| oai:hal.archives-ouvertes.fr:hal-00413148 | |
| Contributeur : Fabrice Rossi | |
| Soumis le : Jeudi 3 Septembre 2009, 12:06:58 | |
| Dernière modification le : Jeudi 3 Septembre 2009, 14:09:18 | |
