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This data is a double[], where each value is a "foot above sea level". We might have 14,000 values, spanning from 100 feet to 8500 feet (for example).
We are evaluating dbscan and meanshift as a wa…
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Now that we're approaching the stage that we'll be incorporating the results from clustering the images, we need to think of how these should be presented. Ideas discussed in the meeting today were:
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I think these methods could do with a review. Here are a few things that look like issues to me:
- Some models do not implement a transform method (presumably because python scikit-learn does not)…
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# Technical Details.
- Cluster Testing data, has centroids A, B, C....., the average distance between data and centroids is **d** .
- Calculate distance between each tuning data and the nearest clus…
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The program throws an exit code 1 instead of 0 when it fails to find any prophage regions.
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I tried your scripts/code into the game and it seems to be broken somewhere.
The touch command is broken or exploit.txt doesn't show it the folder that it should've been.
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First off, thanks for coding and publishing Naive Bayes in TensorFlow. I cloned the projet, created a virtual environment and ran `python3 -m pip install -r requirements.txt`. I got this error:
```…
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I'm frustrated that K-means clustering is the only clustering method available. A hard clustering approach like this really limits the applications of a clustering model for use cases like anomaly det…
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**Describe the bug**
In the [definition](https://github.com/rapidsai/cuml/blob/branch-23.06/cpp/src/dbscan/dbscan.cuh#L107) of `dbscanFitImpl`, it accepts `max_mbytes_per_batch` for limitation of mem…
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## Additional Information
- This issue is originally found in [Issue 3925](https://github.com/MDAnalysis/mdanalysis/issues/3925#issuecomment-1868292405). Please have a look in that conversation.
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