UMAP (Uniform Manifold Approximation and Projection) is a brand new dimension reduction technique, however it has been used already in the paper https://arxiv.org/abs/1908.05968 as a part of clustering pipeline. It gives a really nice results, however I’m not quite convinced of its correctnes. My concerns are similar to those regarding TSNE for clustering (nice stackoverflow discussion here: https://stats.stackexchange.com/questions/263539/clustering-on-the-output-of-t-sne). The UMAP lib for python also touches this issue: https://umap-learn.readthedocs.io/en/latest/clustering.html.

What are your thoughts?