Flor Martinez-Sermeno

Adjusted Wasserstein distances for bridging empirical and true distributions with applications to MDS

Flor Martinez-Sermeno, Arturo Jaramillo, Johan Van Horebeek

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 contrast to…Read more