Výsledky vyhledávání - "Brunet, Camille"

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Autor: Brunet, Camille, Loustau, Sébastien

In this note, we introduce a new algorithm to deal with finite dimensional clustering with errors in variables. The design of this algorithm is based on recent theoretical advances (see Loustau (2013a,b)) in statistical learning with errors in variab

Externí odkaz: http://arxiv.org/abs/1308.3314

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Discriminative variable selection for clustering with the sparse Fisher-EM algorithm

Autor: Bouveyron, Charles, Brunet, Camille

The interest in variable selection for clustering has increased recently due to the growing need in clustering high-dimensional data. Variable selection allows in particular to ease both the clustering and the interpretation of the results. Existing

Externí odkaz: http://arxiv.org/abs/1204.2067

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Akademický článek

Francisella tularensis PCR detection in Cape hares (Lepus capensis) and wild rabbits (Oryctolagus cuniculus) in Algeria.

Autor: Ammam, Imene^1,2 (AUTHOR), Brunet, Camille D.³ (AUTHOR), Boukenaoui-Ferrouk, Nouria^1,4 (AUTHOR), Peyroux, Julien³ (AUTHOR), Berthier, Sylvie⁵ (AUTHOR), Boutonnat, Jean⁵ (AUTHOR), Rahal, Karim¹ (AUTHOR), Bitam, Idir^2,6 (AUTHOR), Maurin, Max^3,5 (AUTHOR) mmaurin@chu-grenoble.fr

Publikováno v: Scientific Reports. 12/12/2022, Vol. 12 Issue 1, p1-12. 12p.

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Simultaneous model-based clustering and visualization in the Fisher discriminative subspace

Autor: Bouveyron, Charles, Brunet, Camille

Publikováno v: Statistics and Computing, 2011

Clustering in high-dimensional spaces is nowadays a recurrent problem in many scientific domains but remains a difficult task from both the clustering accuracy and the result understanding points of view. This paper presents a discriminative latent m

Externí odkaz: http://arxiv.org/abs/1101.2374

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