arXiv stat.ML
· Papers
Adjusted Wasserstein distances for bridging empirical and true distributions with applications to MDS
arXiv:2606.29665v1 Announce Type: new Abstract: This paper examines how metric adjustments to Multidimensional Scaling (MDS) can enhance its effectiveness as a visual tool for pattern recognition. The distance under consideration, referred to as Max-D-SW, is an adjustment of the Max-Sliced Wasserstein distance. In cont