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When running the code from the read me I don't get the score that is mentioned in the read me. When going back to commit `b28e70a`, it works as communicated.
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I would like to use the HDBSCAN clustering technique to predict outliers. I have trained my model to optimize the parameters, but then, when I apply approximate_predict on new data, I get different cl…
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I tested multiple combination of `min_dist` and `n_neighbor` on my data, I found that a suitable combination of those hyperparameters can separate the all the cluster(according to labels). I wonder ho…
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### Describe the workflow you want to enable
Scikit-learn defines three popular metrics for evaluating clustering performance when there are no ground-truth cluster labels: [sklearn.metrics.silhouett…
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I'm very happy with this HDBSCAN library--it's fast, well-documented, and easy to use.
Currently, I'm trying to decide if changes in my upstream featurization pipeline are improving or harming my c…
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Your solution is interesting. Unfortunately, it is not scalable. I made it turn for 200 points of two dimensions, it takes almost 6 seconds. For thousands of points I can't keep it running anymore.
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---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[36], line 21
19 from kneed impor…
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Hi,
I'm a new user. Just installed and ran the tests, and one is failing, as well as one error:
```
======================================================================
ERROR: hdbscan.tests.te…
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Hi,
thanks for the python implementation of DBCV.
I used your implementation on the dataset_1.txt provided by the authors of DBCV paper from this link: https://github.com/pajaskowiak/dbcv .
With …
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Hey and thanks for this package... since the other one available doesn't seem to follow the reference implementation and is inactive it is nice to see something being maintained.
I'm getting the du…