The dimensionality reduction general problem has a large history. One of the commonly used approximations for classification is Principal Component Analysis (PCA) [1]. The problem with this kind of methods is that they do not consider the explicit form of the differential manifold structure in which our data probably lie. The objective is to find an application that goes from