Croux, Christophe; Filzmoser, Peter; Oliveira, M. Rosario - 2007
Principal Component Analysis (PCA) is very sensitive in presence of outliers. One of the most appealing robust methods for principal component analysis uses the Projection-Pursuit principle. Here, one projects the data on a lower-dimensional space such that a robust measure of variance of the...