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A high performance implementation of HDBSCAN clustering.

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Hi guys, thank you for the implementation of the algorithm - it works mostly incredibly good. But only recently have I encountered an error that is not addressed according to...

It looks like `cython` is both `cimport`ed and `import`ed in `dist_metrics.pxd` (only the former is needed with `cython` unless pure Python mode is used) https://github.com/scikit-learn-contrib/hdbscan/blob/2e7112d3b8a65ebb94db95c24243d0c79ad8cfa5/hdbscan/dist_metrics.pxd#L6-L7 However looking at the module...

Hi, I have installed hdbscan with pip without any errors: ........................................................................................... Installing collected packages: hdbscan Attempting uninstall: hdbscan Found existing installation: hdbscan 0.8.37 Uninstalling hdbscan-0.8.37: Successfully uninstalled hdbscan-0.8.37 Successfully installed...

Noticing this warning [on CI]( https://dev.azure.com/TutteInstitute/build-pipelines/_build/results?buildId=615&view=logs&j=8e7f5077-a515-5ea0-e5ea-bdf5b586a356&t=f3df9127-f7a0-5f38-3631-58a3ce1a6c94&l=24 ): ```python hdbscan/tests/test_flat.py::test_flat_base_default PASSED [ 1%] ##[warning]Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future....

I would like to first thank you all for the very useful library you have created, thank you very much! To the question: I am using HDBScan to cluster data...

Hi Team, We are currently running the HDBSCAN algorithm on a large and diverse dataset using one of our products to execute the script in Python. Below is the script...

The latest version of this project doesn't have a wheel for Python 3.12, though the project does not seem to specify its incompatibility with 3.12 anywhere. Are there any technical...

Hello, is there some way to print out the progress? I have a huge dataset and I wonder whether it will ever terminate :smile: Thanks in advance, Chris

## What I found that when I upgrade from numpy 1 to 2, the clustering results are different on different platforms. This behavior didn't happen on numpy 1. I also...