[CSL08] Le bi-partitionnement : Etat de lÂ’art sur les approches et les algorithmes

Conférences Nationales sans actes : Ecol'IA'08 , Hammamet, Tunisie,

Auteurs: M. Charrad , G. Saporta , Y. Lechevallier , M. Ben Ahmed

Mots clés: Biclustering, Machine Learning, Data Mining, Simultaneous clustering

Résumé: Simultaneous clustering methods perform clustering in the two dimensions simultaneously. They seek to find sub-matrices, that is subgroups of rows and subgroups of columns. They have practical importance in a wide of variety of applications such as biology data analysis, text mining and web mining. In this paper, we introduce a large number of existing approaches of simultaneous clustering and classify them in accordance with the type of biclusters they can find, the methods used and the target applications.

Equipe: msdma

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BibTeX

@conference {
	CSL08,
	title	=	"{Le bi-partitionnement : Etat de lÂ’art sur les approches et les algorithmes}",
	author	=	" M. Charrad and G. Saporta and Y. Lechevallier and M. Ben Ahmed ",
	year	=	2008,
}