Rehabilitating Isomap: Euclidean Representation of Geodesic Structure

no code implementations • 18 Jun 2020 • Michael W. Trosset, Gokcen Buyukbas

Manifold learning techniques for nonlinear dimension reduction assume that high-dimensional feature vectors lie on a low-dimensional manifold, then attempt to exploit manifold structure to obtain useful low-dimensional Euclidean representations of the data.

Dimensionality Reduction