Paper ID: 2205.11257

Manifold-aligned Neighbor Embedding

Mohammad Tariqul Islam, Jason W. Fleischer

In this paper, we introduce a neighbor embedding framework for manifold alignment. We demonstrate the efficacy of the framework using a manifold-aligned version of the uniform manifold approximation and projection algorithm. We show that our algorithm can learn an aligned manifold that is visually competitive to embedding of the whole dataset.

Submitted: May 19, 2022