Manifold-aligned Neighbor Embedding

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May 19, 2022
Mohammad Tariqul Islam, Jason W. Fleischer
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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.

* Accepted at the ICLR 2022 Workshop on Geometrical and Topological Representation Learning  
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