Manifold learning with arbitrary norms

Joe Kileel, Amit Moscovich, Nathan Zelesko +1

Manifold learning methods play a prominent role in nonlinear dimensionality reduction and other tasks involving high-dimensional data sets with low intrinsic dimensionality. Many o…