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Poster communications

CLUSTERING INDIVIDUALS DESCRIBED BY MULTI BLOCK VARIABLES

Abstract : We address the problem of clustering individuals described by several homogeneous blocks of variables. Reformulating it as problem of consensus of partitions, we propose a method based on the three way method STATIS to find a unique partition of the individuals. A real example on environmental data illustrates the proposed method
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Poster communications
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https://hal.archives-ouvertes.fr/hal-01126246
Contributor : Laboratoire Cedric <>
Submitted on : Friday, March 6, 2015 - 11:47:33 AM
Last modification on : Saturday, February 8, 2020 - 5:50:02 PM

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  • HAL Id : hal-01126246, version 1

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Ndeye Niang Keita. CLUSTERING INDIVIDUALS DESCRIBED BY MULTI BLOCK VARIABLES. SADA'13 Statistique Appliqu?e pour le D?veloppement en Afrique, Mar 2013, Cotonou, Benin. 2013. ⟨hal-01126246⟩

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