Out-of-sample extension of graph adjacency spectral embedding

Keith Levin, Farbod Roosta-Khorasani, Michael W. Mahoney, Carey E. Priebe

Abstract: Many popular dimensionality reduction procedures have out-of-sample extensions, which allow a practitioner to apply a learned embedding to observations not seen in the initial training sample. In t...