A robust predictive approach for canonical correlation analysis
Canonical correlation analysis (CCA) is a dimension-reduction technique in which two random vectors from high dimensional spaces are reduced to a new pair of low dimensional vectors after applying linear transformations to each of them, retaining as much information as possible. The components of th...
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2015
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0047259X_v133_n_p356_Adrover http://hdl.handle.net/20.500.12110/paper_0047259X_v133_n_p356_Adrover |
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