Linear and nonlinear mapping of patterns

Abstract Discrete Karhunen-Loeve-transform and a newly developed nonlinear mapping are used to obtain a structure-preserving mapping of high-dimensional data to a plane. It seems that the potential power of nonlinear mappings is needed only for artificial data.