Three‐way clustering around latent variables approach with constraints on the configurations to facilitate interpretation-Reference-Cited by-同舟云学术

Three‐way clustering around latent variables approach with constraints on the configurations to facilitate interpretation

Published:2020-06-28 Issue:2 Volume:35 Page:
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Cariou Véronique¹^ORCID,Alexandre‐Gouabau Marie‐Cécile²^ORCID,Wilderjans Tom F.³⁴⁵^ORCID

Affiliation:

1. StatSC, ONIRIS, INRAE Nantes 44322 France

2. NUN, INRAE, CHU Nantes, UMR 1280, Physiopathologie des Adaptations Nutritionnelles (PhAN) Institut des maladies de l'appareil digestif (IMAD), Centre de Recherche en Nutrition Humaine Grand Ouest (CRNH GO) Nantes 44000 France

3. Methodology and Statistics Research Unit, Institute of Psychology, Faculty of Social and Behavioral Sciences Leiden University Pieter de la Court Building, Wassenaarseweg 52 Leiden AK 2333 The Netherlands

4. Research Group of Quantitative Psychology and Individual Differences, Faculty of Psychology and Educational Sciences KU Leuven, Tiensestraat 102 Leuven 3000 Belgium

5. Leids Universitair Medisch Centrum (LUMC) Leiden Institute for Brain and Cognition (LIBC) Leiden RC 2300 The Netherlands

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cem.3269

Reference48 articles.

1. Harnessing the complexity of metabolomic data with chemometrics

2. Hierarchical multiblock PLS and PC models for easier model interpretation and as an alternative to variable selection

3. A framework for sequential multiblock component methods

4. Data Fusion in Metabolomics Using Coupled Matrix and Tensor Factorizations

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