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Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis
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DOI：10.1016/j.ejor.2014.01.008.png)
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Abstract
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.
Keywords:
Multiblock data analysis
Multigroup data analysis
Regularized generalized canonical
correlation analysis
Journal
IF:
6
Papers:
2.2W
Citations:
6.4W