clustering-benchmarks

View on PyPIReverse Dependencies (1)

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

Wheel Details

Project: clustering-benchmarks
Version: 1.1.5
Filename: clustering_benchmarks-1.1.5-py3-none-any.whl
Download: [link]
Size: 28909
MD5: 18ef8bde7ea7ee1751b401278d76a117
SHA256: e50e5c6482797c2af1e79cad8c17a52fbec2d3f22f3638559d5798fb688d7998
Uploaded: 2024-08-22 11:03:15 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: clustering-benchmarks
Version: 1.1.5
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: 1028 characters]

WHEEL

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

RECORD

Path Digest Size
clustbench/__init__.py sha256=lpCRV6fpEkpm9rfkA6kkisrryvd4pNMbmdDYjngkyZQ 1801
clustbench/colouriser.py sha256=vUk9Ubl_beJq3m3bUDimcBGKkhT3d-5nPeBlImar5CA 10539
clustbench/fit_predict.py sha256=ltkoISIp0tSbZEDhr-43kmbBXTY1VkgPmCVQPN0EQNM 2332
clustbench/get_names.py sha256=dC4DtLT5BInaKcrXBqls5iBZs_YEvk2o-CTjKETiSN0 4409
clustbench/load_dataset.py sha256=5VsP6ZpyJ9FB1GfCPVjE0dbQtLDjz4Qhs6Jiukk0tuk 7453
clustbench/load_results.py sha256=kYPtIbUi-Wictgbx1CeGKjPwgNOSdE1GVaqVeRZ0xSA 7076
clustbench/preprocess_data.py sha256=X-eg02qLDTl0C71BIvkFx_9iNCte3GqvnZQPEfMs4LU 3100
clustbench/score.py sha256=IO45tXCeo4gRCi8qtNCHKxv7rNcpDfwyyzjFcEehlh4 3708
clustering_benchmarks-1.1.5.dist-info/LICENSE sha256=sWgdRffSDGxSYe3PQ8DmNpYlVchduUd3R_ECBJfaMMs 35304
clustering_benchmarks-1.1.5.dist-info/METADATA sha256=aVlx1EjIVTJOxyVwP3bzUWZSoW8Qa6-7-NC2yuRMH4w 2393
clustering_benchmarks-1.1.5.dist-info/WHEEL sha256=Wyh-_nZ0DJYolHNn1_hMa4lM7uDedD_RGVwbmTjyItk 91
clustering_benchmarks-1.1.5.dist-info/top_level.txt sha256=7VDsr-MgyNm8MDlb6QYmsyZBKJwvBCzyHs2PeZf8JZU 11
clustering_benchmarks-1.1.5.dist-info/RECORD

top_level.txt

clustbench