Manifold learning in Wasserstein space

Keaton Hamm, Caroline Moosmüller, Bernhard Schmitzer +1

This paper aims at building the theoretical foundations for manifold learning algorithms in the space of absolutely continuous probability measures $\mathcal{P}_{\mathrm{a.c.}}(Ω)…