Tutorial: Multiple Factor Analysis applied to sensory data

Jérome Pagès; Marine Cadoret; Sébastien Lê

Conference papers

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.

Domain :

Mathematics [math] / Statistics [math.ST]

Statistics [stat] / Statistics Theory [stat.TH]

Complete list of metadatas

https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-00729644
Contributor : Céline Martel <>
Submitted on : Friday, September 7, 2012 - 3:47:44 PM
Last modification on : Thursday, November 28, 2019 - 4:50:12 PM

Tutorial: Multiple Factor Analysis applied to sensory data

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Tutorial: Multiple Factor Analysis applied to sensory data

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