This toolbox is an educational and recreative toolbox around recent ideas in the field of dimension reduction. * PCA : classical Principal Componnent Analysis (linear projection). * Nonlinear dimensionality reduction by locally linear embedding

this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) t