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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Detalles Bibliográficos
Autores principales: Adrover, J.G., Donato, S.M.
Formato: JOUR
Materias:
Canonical correlation analysis
M-scales
Mean relative prediction error
S-estimation
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0047259X_v133_n_p356_Adrover
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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