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Given a HDBSCAN clustering, we'd like to merge some of the clusters to produce parent clusters. The ultimate goal is to have two-level clustering. A promising approach would be to iteratively merge th…
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I know that on this thing it has been written a lot but...
I am using Windows 10, Python 3.7, with all python packages updated. While running
`python -m pip install hdbscan`
an error pops out:
…
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I can't find any complexity information about HDBSCAN by google or wiki.
And how about compare to OPTICS?
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I've been reading over the paper to try to gain an understanding of the algorithm, but I've run into a bit of a problem. After exporting the mutual reachability distance matrix from HDBSCAN, running o…
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import hdbscan
points = []
/*
(close point1 point2 point3) (point4) (close point5 point6 point7)
*/
points.append([116.286932,40.0…
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hdbscan==0.8.2
Can't seem to get cosine metric working:
hdbscan.hdbscan_.DistanceMetric.get_metric('cosine')
So the metric is there, but:
clusterer = hdbscan.HDBSCAN(min_cluster_size=5, metric='cos…
rn123 updated
2 years ago
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For the scikit learn HDBSCAN, there is a validity_index method for evaluating the clustering results.
The same is not present for HDBSCAN cuml implementation. Is it intended?
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When running `hdbscan` with `prims_kdtree`, I get the following traceback. Please note my matrix is sparse.
```
Traceback (most recent call last):
File "Clustering - West Coast - Teachers.py", li…
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I am trying to run hdbscan but I get the error:
> ValueError: Buffer dtype mismatch, expected 'double_t' but got 'long long'
I have attached my code below, it is standard from the example I have…
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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…