[Nia18] Multiblock consensus clustering

Conférence Nationale avec comité de lecture : ChimiomÃ©trie XIX - 2018, 30-31 janvier 2018, January 2018, Paris, FRANCE,

Auteurs: N. Niang Keita

motcle:

Résumé: The general problem addressed in this paper is clustering individuals described by variables which are divided in several homogeneous and meaningful blocks. As blocks are supposed to be homogeneous, preserving this homogeneity in data blocks would help to exhibit the underlying structure of the individuals. We propose a weighted consensus method based on the RV correlation coefficient, to get an aggregated connectivity matrix which is then used to re-cluster the individuals in order to find the consensus partition.

BibTeX

@inproceedings {
	Nia18,
	title	=	"{Multiblock consensus clustering}",
	author	=	" N. Niang Keita ",
	booktitle	=	"{ChimiomÃ©trie XIX - 2018, 30-31 janvier 2018}",
	year	=	2018,
	month	=	"January",
	address	=	"Paris, FRANCE",
}