Tutorial: Multiple Factor Analysis applied to sensory data

Jérome Pagès 1 Marine Cadoret 1 Sébastien Lê 1
1 IRMAR - Institut de Recherche Mathématique de Rennes
Abstract : The aim of this tutorial is to present an overview of Multiple Factor Analysis (MFA, see Escofier and Pagès, 1994), a multivariate exploratory data method that analyzes observations described by several "blocks" or sets of variables.
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Conference papers
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https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-00729644
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Submitted on : Friday, September 7, 2012 - 3:47:44 PM
Last modification on : Thursday, November 15, 2018 - 11:56:36 AM

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Jérome Pagès, Marine Cadoret, Sébastien Lê. Tutorial: Multiple Factor Analysis applied to sensory data. conference Sensometrics, Jul 2010, Rotterdam (NL), Netherlands. ⟨hal-00729644⟩

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