Shared Nearest Neighbors
A Shared Nearest Neighbors (Jarvis-patrick) clustering implementation. This code is basically a wrapper of sklearn DBSCAN, implementing the neighborhood similarity as a metric. The implementation follows the syntax of scikit-learn clustering classes.
Free software: MIT license
Documentation: https://shared-nearest-neighbors.readthedocs.io.
History
0.1.0 (2022-01-06)
First release on PyPI.
1 maintainer
Metadata
1 maintainer
Release files for shared-nearest-neighbors 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| shared_nearest_neighbors-0.1.0-1.tar.gz | 75.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| shared_nearest_neighbors-0.1.0-1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 81.9 kB
Security for shared-nearest-neighbors 0.1.0
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