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I'm surprised that I cannot seem to separate these blobs easily in 3 clusters?
I …
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Request for project inclusion in scikit-learn-contrib
- Project name: hdbscan
- Project description: A clustering library implementing the HDBSCAN\* and Robust Single Linkage density based clustering …
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This is a borderline usage problem; I am raising an Issue because the API is a bit confusing (to my mind). Users should follow a set of guidelines in the API before concluding this is a bug.
I am im…
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@mhahsler I'm trying to add `dbscan` and `optics` to my `largeVis` package. I've been using your package to generate testing data to make sure that mine is producing the same results. I've come acro…
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Hi,
First, thank you for this awesome implementation of HDBSCAN. It is certainly one of the best and most generic clustering algorithm and having this high performance implementation is cool with Sci…
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Not sure if this is a bug or feature, but I have observed that on my Ubuntu 14.04 machine HDBSCAN only ever uses one core, some other cores also spike occasionally but 90% of the time it's just a sing…
ghost updated
8 years ago
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Tried using the implementation as is for working with images, as was being done in sklearn using KMeans / MiniBatchKMeans / Meanshift clustering. But consistently run into MemoryError (for images as s…
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First off, thanks for your work on the implementation of the algorithm, it's excellent. I do most of my development on OSX and HDBSCAN has worked like a charm.
However, I've recently been trying to …
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Hi,
Thank you for this amazing clustering algorithm and such easy-to-use library. However I think I've found a minor bug. min_cluster_size keyword actually stands for a maximum size, which is not con…
Phlya updated
8 years ago
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Hi,
I tried running the `plot_hdbscan.py` example, but it failed with an error:
```
File "X:/somepath/example.py", line 44, in
hdb = HDBSCAN(min_cluster_size=10).fit(X)
File "C:\Python27\li…