Hi @lewtun,
Sorry to bother you on this again, just wanted to pick your brain on the optimal distance metric you found for UMAP? On their documentation they use Hellinger but this doesn’t work for negative values: Document embedding using UMAP — umap 0.5 documentation 1
Also wondered if you’d found a way to select the optimal dimensionality of the UMAP reduction in order to provide HDBSCAN with maximal info.
Any insight or papers in this area would be much appreciated.
Many thanks,
Chris
Edit: On a second search of their documentation I found a much more helpful entry: Using UMAP for Clustering — umap 0.5 documentation 1, but would still love to hear your findings.