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fair-kmeans 0.1.3 package intelligence

Fair K-Means produces a fair clustering assignment according to the fairness definition of Chierichetti et al. Each point has a binary color, and the goal is to assign the points to clusters such that the number of points with different colors in each cluster is the same and the

pip install fair-kmeans

Current version
0.1.3
Python requirement
<4.0,>=3.10
License
LICENSE
Distribution type
Includes compiled wheel
Release files
2 (1 wheels, 1 source)
Download size
668.8 KiB
Release history
4 releases with files
Median release cadence
183 days

fair-kmeans dependencies

PyPI declares 2 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy <2.0.0,>=1.26.4
  2. scikit-learn <2.0.0,>=1.6.1

Compatibility and release files

fair-kmeans publishes 1 wheel and 1 source archive for version 0.1.3. Wheel platform tags: manylinux_2_39_x86_64.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 4 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.