If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

Extraction of Food Consumption Systems by Nonnegative Matrix Factorization (NMF) for the Assessment of Food Choices

$48.00 plus tax (Refund Policy)

Download / Buy Article:

Abstract:

Summary In Western countries where food supply is satisfactory, consumers organize their diets around a large combination of foods. It is the purpose of this article to examine how recent nonnegative matrix factorization (NMF) techniques can be applied to food consumption data to understand these combinations. Such data are nonnegative by nature and of high dimension. The NMF model provides a representation of consumption data through latent vectors with nonnegative coefficients, that we call consumption systems (CS), in a small number. As the NMF approach may encourage sparsity of the data representation produced, the resulting CS are easily interpretable. Beyond the illustration of its properties we provide through a simple simulation result, the NMF method is applied to data issued from a French consumption survey. The numerical results thus obtained are displayed and thoroughly discussed. A clustering based on the k‐means method is also achieved in the resulting latent consumption space, to recover food consumption patterns easily usable for nutritionists.

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1541-0420.2011.01588.x

Affiliations: 1: Institut de la Recherche Agronomique (INRA), Métarisk, 16 rue Claude Bernard, 75231 Paris cedex 05, France 2: LTCI UMR Telecom ParisTech/CNRS No. 5141, 46 rue Barrault, 75634 Paris cedex 13, France

Publication date: December 1, 2011

Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more