Skip to main content

A Fair K-Means clustering algorithm with fairness constraints.

Project description

Fair K-Means

A Python package for fairness-aware K-Means clustering.

Installation

pip install fair_kmeans_ashwinram

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fair_kmeans_uchicago-0.1.0.tar.gz (4.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

fair_kmeans_uchicago-0.1.0-py3-none-any.whl (4.4 kB view details)

Uploaded Python 3

File details

Details for the file fair_kmeans_uchicago-0.1.0.tar.gz.

File metadata

  • Download URL: fair_kmeans_uchicago-0.1.0.tar.gz
  • Upload date:
  • Size: 4.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.1

File hashes

Hashes for fair_kmeans_uchicago-0.1.0.tar.gz
Algorithm Hash digest
SHA256 a5813071a0546e7a5b817e6671289e9f369ddb2fae7b8c232e98bcb6ec47d43b
MD5 90aa2fef094734cc1027daf5d2c22eb4
BLAKE2b-256 38a704b7a27409aa2056d793621ec1859399b73af91a68c01720935ce5862d0c

See more details on using hashes here.

File details

Details for the file fair_kmeans_uchicago-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for fair_kmeans_uchicago-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 08da36308abae6ae7aefb90d8ff6a8a5478c685ad0b2453865eacd48cd1aee28
MD5 cb0f01f36b6c3703ddd60fe4392f8873
BLAKE2b-256 3908900fbe1d14440d28d0493c8e5b3cafe8b94cb818b682844466b492d004dc

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page