Article Dans Une Revue Journal of Chemometrics Année : 2016

Analysis of multiblock datasets using ComDim: Overview and extension to the analysis of (K+ 1) datasets

Angelina El Ghaziri
Véronique Cariou
El Mostafa E. M. Qannari
  • Fonction : Auteur

Résumé

ComDim analysis was designed to assess the relationships between individuals and variables within a multiblock setting where several variables, organized in blocks, are measured on the same individuals. An overview of this method is presented together with some of its properties. Furthermore, we discuss a new extension of the method of analysis to the case of (K+1) datasets. More precisely, the aim is to explore the relationships between a response dataset and K other datasets. An illustration of this latter strategy of analysis on the basis of a case study involving Time Domain - Nuclear Magnetic Resonance data is outlined and the outcomes are compared with those of Multiblock Partial Least Squares regression.

Dates et versions

hal-01557396 , version 1 (06-07-2017)

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Citer

Angelina El Ghaziri, Véronique Cariou, Douglas N. Rutledge, El Mostafa E. M. Qannari. Analysis of multiblock datasets using ComDim: Overview and extension to the analysis of (K+ 1) datasets. Journal of Chemometrics, 2016, 30 (8), pp.420-429. ⟨10.1002/cem.2810⟩. ⟨hal-01557396⟩
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