Ranthony A. Clark

Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance

Dimension reduction techniques typically seek an embedding of a high-dimensional point cloud into a low-dimensional Euclidean space which optimally preserves the geometry of the input data. Based on expert knowledge, one may instead wish to embed the data into some other manifold or metric space in…