Visualization of Manifold-Valued Elements by Multidimensional Scaling

Abstract

The present contribution suggests the use of a multidimensional scaling (MDS) algorithm as a visualization tool for manifold-valued elements. A visualization tool of this kind is useful in signal processing and machine learning whenever learning/adaptation algorithms insist on high-dimensional parameter manifolds.

The paper has been published in 2011, hence I think it is time to withdraw its draft version from the arXiv