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Did you reduce the dimension before applying HDBSCAN?

I did, there was a first round of UMAP to 50 dimensions. Running HDBSCAN on the full embeddings gave bad results, lots of singleton clusters.

Interesting, I got the opposite result. The full embeddings gave two or three clusters. How did you work with the hyper parameters of HDBSCAN?