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[D] Using UMAP for clustering

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?

submitted by /u/Andrejkarp
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.