Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis

This paper presents an overview of methods for the analysis of data structured in blocks of variables or in groups of individuals. More specifically, regularized generalized canonical correlation analysis (RGCCA), which is a unifying approach for multiblock data analysis, is extended to be also a unifying tool for multigroup data analysis. The versatility and usefulness of our approach is illustrated on two real datasets.

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Year of publication:	2014
Authors:	Tenenhaus, Arthur ; Tenenhaus, Michel
Published in:	European Journal of Operational Research. - Elsevier, ISSN 0377-2217. - Vol. 238.2014, 2, p. 391-403
Publisher:	Elsevier
Subject:	Multiblock data analysis \| Multigroup data analysis \| Regularized generalized canonical correlation analysis

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010871118