Hierarchical Multiple Factor Analysis: application to the comparison of sensory profiles

By S. Dien, Jérôme Pagès. 2003

91 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Food Science, Social Psychology

View Paper: https://www.semanticscholar.org/paper/57a8e2541d0c4f8169c8f86eb8aabf946ea6f6fc

How researchers see this paper

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In Experimental and Cognitive Psychology

1. Julie Josse

In Food Science

1. Julie Josse

In Social Psychology

1. Julie Josse

Citations in the corpus

• Principal component methods - hierarchical clustering - partitional clustering: why would we need to choose for visualizing data? (2010, methodology): “The clustering can then be performed onto the principal components of methods such as hierarchical multiple factor analysis (Le Dien and Pagès 2003a,b) which is an extension of MFA to the case where variables are structured according to a hierarchy.”