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Common components and specific weight analysis and multiple co‐inertia analysis applied to the coupling of several measurement techniques
Author(s) -
Hanafi M.,
Mazerolles G.,
Dufour E.,
Qannari E. M.
Publication year - 2006
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.988
Subject(s) - set (abstract data type) , product (mathematics) , computer science , basis (linear algebra) , sample (material) , inertia , process (computing) , latent variable , data mining , principal component analysis , biological system , mathematics , artificial intelligence , chemistry , chromatography , physics , biology , programming language , operating system , geometry , classical mechanics
The present paper compares two multiblock techniques: the Common Components and Specific Weights Analysis (CCSWA) and the Multiple Co‐inertia Analysis (MCoA). Both methods are used to (1) to investigate the relationships among various data tables and (2) to extract latent variables from information of different nature, reflecting different facets of a food product. Our objective is to study the ability of these methods to extract, from a set of data tables, latent characteristics which are representative of the whole modifications brought to a complex system (food product) by a modification of a given process factor. The comparison of these methods is based on the investigation of their conceptual framework by particularly highlighting new properties of CCSWA. Moreover, the two techniques of analysis are compared on the basis of a case study in cheese processing where each cheese sample is described by different kinds of measurements. Copyright © 2007 John Wiley & Sons, Ltd.