Visualization of Manifold-Valued Elements by Multidimensional Scaling
Machine Learning
2013-03-08 v2
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.
Cite
@article{arxiv.1004.0314,
title = {Visualization of Manifold-Valued Elements by Multidimensional Scaling},
author = {Simone Fiori},
journal= {arXiv preprint arXiv:1004.0314},
year = {2013}
}
Comments
The paper has been published in 2011, hence I think it is time to withdraw its draft version from the arXiv