Visualization of Manifold-Valued Elements by Multidimensional Scaling
classification
📊 stat.ML
keywords
visualizationelementslearningmanifold-valuedmultidimensionalscalingtooladaptation
read the original 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.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.