Empirical Eigenfunctions (PCA, SVD, KL, etc.): A Tutorial

The eigenfunction approach to dealing with empirically derived data, offers a powerful avenue for analyzing data. By such means one generates a coordinate system defined by the data itself, which, by well defined criteria, is optimal. A unified presentation of such methods will be presented and illustrated with examples drawn from applications.