Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis

Arthur Tenenhaus

doi:10.1016/j.ejor.2014.01.008

Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis

2014-10-01

57

PRE

AI

DOI：10.1016/j.ejor.2014.01.008

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En 中文

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. (c) 2014 Elsevier B.V. All rights reserved.

Keyword:

Multiblock data analysis

Multigroup data analysis

Regularized generalized canonical

correlation analysis

Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis

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