Manifold-aligned Neighbor Embedding
Machine Learning
2022-05-24 v1
Abstract
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.
Keywords
Cite
@article{arxiv.2205.11257,
title = {Manifold-aligned Neighbor Embedding},
author = {Mohammad Tariqul Islam and Jason W. Fleischer},
journal= {arXiv preprint arXiv:2205.11257},
year = {2022}
}
Comments
Accepted at the ICLR 2022 Workshop on Geometrical and Topological Representation Learning