TY  - GEN 
AU  - Croux, Christophe
AU  - García Escudero, Luis Ángel
AU  - Gordaliza Ramos, Alfonso
AU  - Ruwet, Christel
AU  - San Martín Fernández, Roberto
PY  - 2016
UR  - http://uvadoc.uva.es/handle/10324/18091
AB  - Principal Component Analysis (PCA) is a widely used technique for reducing
dimensionality of multivariate data. The principal component subspace is
defined as the affine subspace of a given dimension d giving the best fit to
the data. However, PCA...
LA  - spa
KW  - Estadística
TI  - Robust Principal Component Analysis Based On Trimming Around Affine Subspaces
ER  -