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

Mélanie Zetlaoui; Max Feinberg; Philippe Verger; Stéphan Clémençon

doi:10.1111/j.1541-0420.2011.01588.x

Journal articles

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

Mélanie Zetlaoui ¹ Max Feinberg ² Philippe Verger ³ Stéphan Clémençon ^{4, 5}

1 MODAL'X - Modélisation aléatoire de Paris X

2 UAR 1306 Direction du Système d'Information-Unité d'Appui

3 WHO

4 LTCI - Laboratoire Traitement et Communication de l'Information

5 IDS - Département Images, Données, Signal

Document type :

Journal articles

Domain :

Mathematics [math]

Statistics [stat] / Machine Learning [stat.ML]

Mathematics [math] / Statistics [math.ST]

Mathematics [math] / Probability [math.PR]

Complete list of metadata

https://hal.telecom-paris.fr/hal-02107311
Contributor : Stephan Clémençon Connect in order to contact the contributor
Submitted on : Tuesday, April 23, 2019 - 4:02:46 PM
Last modification on : Thursday, October 21, 2021 - 3:16:06 PM

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

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

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