Benito Bonito, MónicaPeña, Daniel2006-11-092006-11-092004-02https://hdl.handle.net/10016/207A common objective in image analysis is dimensionality reduction. The most common often used data-exploratory technique with this objective is principal component analysis. We propose a new method based on the projection of the images as matrices after a Procrustes rotation and show that it leads to a better reconstruction of images.736268 bytesapplication/pdfengDimensionality reduction with image dataworking paperEstadísticaopen accessws041003