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clustering-benchmarks

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1.1.6 clustering_benchmarks-1.1.6-py3-none-any.whl
1.1.5 clustering_benchmarks-1.1.5-py3-none-any.whl

Wheel Details

Project: clustering-benchmarks
Version: 1.1.6
Filename: clustering_benchmarks-1.1.6-py3-none-any.whl
Download: [link]
Size: 28935
MD5: 2dea4cb738a9530cdc71488457047594
SHA256: 6b35513d3dba47cb7fde5ec77bc7a6491dd1fcfb7226230285c4b7f77df60b34
Uploaded: 2025-02-03 11:58:24 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: clustering-benchmarks
Version: 1.1.6
Summary: A Framework for Benchmarking Clustering Algorithms
Author: Marek Gagolewski
Author-Email: marek[at]gagolewski.com
Maintainer: Marek Gagolewski
Home-Page: https://clustering-benchmarks.gagolewski.com/
Download-Url: https://github.com/gagolews/clustering-benchmarks
Project-Url: Bug Tracker, https://github.com/gagolews/clustering-benchmarks/issues
Project-Url: Documentation, https://clustering-benchmarks.gagolewski.com/
Project-Url: Source Code, https://github.com/gagolews/clustering-benchmarks
License: GNU Affero General Public License v3
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Scientific/Engineering
Requires-Dist: natsort
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: pandas
Requires-Dist: cython
Requires-Dist: genieclust
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1018 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (71.1.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
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clustbench/colouriser.py sha256=8QxidoKhSgTLXzEw5kTTp_AnHV47mUVZC-qLJ1LWAGA 10539
clustbench/fit_predict.py sha256=9qb5ui4w-i4XBwcQ-QktUKei2iv_qNFV6Gu1_rYqxg8 2332
clustbench/get_names.py sha256=78GhILJIfgPpDCp5BlBtSf_9kOeYbzS1AFK0JQUDdQ8 4409
clustbench/load_dataset.py sha256=1U09CF5UTa9mjXRE9JtjifxEwX9rVn5g3wXeUxjkTn0 7525
clustbench/load_results.py sha256=caPLiK0qeefsGd_sjUXKJs5TBUoBCkYkWsUafxx8Q_A 7076
clustbench/preprocess_data.py sha256=woRYk8j4ZCNnRcHJSX4fWUpeekNPHHQpja5fkcW5teY 3100
clustbench/score.py sha256=mr0YJum2YixNK3JS5kl5tXwzNeWtSma56eFw02VtIVs 3708
clustering_benchmarks-1.1.6.dist-info/LICENSE sha256=XpRrGbz07TtU4wj3Jiufto1WS-Br6KFIwa_8DQ9QPTE 35304
clustering_benchmarks-1.1.6.dist-info/METADATA sha256=vuHmPVs5qtWHkMGCby3Wn7fcNmxqzVZVF-Un0RwHYHg 2383
clustering_benchmarks-1.1.6.dist-info/WHEEL sha256=Wyh-_nZ0DJYolHNn1_hMa4lM7uDedD_RGVwbmTjyItk 91
clustering_benchmarks-1.1.6.dist-info/top_level.txt sha256=7VDsr-MgyNm8MDlb6QYmsyZBKJwvBCzyHs2PeZf8JZU 11
clustering_benchmarks-1.1.6.dist-info/RECORD — —

top_level.txt

clustbench