Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis

Arthur Tenenhaus and Michel Tenenhaus

European Journal of Operational Research, 2014, vol. 238, issue 2, 391-403

Abstract: 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.

Keywords: Multiblock data analysis; Multigroup data analysis; Regularized generalized canonical correlation analysis (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:238:y:2014:i:2:p:391-403

DOI: 10.1016/j.ejor.2014.01.008

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