Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis |
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| Authors: | Arthur Tenenhaus Michel Tenenhaus |
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| Institution: | 1. SUPELEC, Plateau de moulon, 3 rue Joliot-Curie, 91192 Gif-sur-Yvette Cedex, France;2. HEC Paris, 1 rue de la Libération, 78351 Jouy-en-Josas Cedex, France |
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| 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. |
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| Keywords: | Multiblock data analysis Multigroup data analysis Regularized generalized canonical correlation analysis |
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