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**Is your feature request related to a problem? Please describe.**
I would like to use cosine similarity as a metric for HDBSCAN for high dimensional data without dimension reduction as its quite slow…
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I am trying to use this incredible new library you are working on. And following your example in the arxiv notebook I received this error:
` on Linux (fully updated Manjaro).
After removing the hdbscan version specification from `rpp_version=`, it works. 🤷
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DBSCAN is already included. There is a successor, [hdbscan](https://github.com/scikit-learn-contrib/hdbscan) which has a famously good Python package, and is fairly popular.
DBSCAN is already here,…
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The CPU hdbscan [library provides](https://github.com/scikit-learn-contrib/hdbscan/blob/c5fcf4b3829d391eadd14598736a763952790a82/hdbscan/hdbscan_.py#L1457) a `relative_validity_` attribute, which is a…
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Hi - importing `fast_hdbscan` seems to be really slow, using the latest PyPi version. It takes ~25s in a new python session.
Here is a repro in [google colab](https://colab.research.google.com/dri…