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-0.1.1.tar.gz (4.1 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-0.1.1-py3-none-any.whl (4.4 kB view details)

Uploaded Python 3

File details

Details for the file fair_kmeans_uchicago-0.1.1.tar.gz.

File metadata

  • Download URL: fair_kmeans_uchicago-0.1.1.tar.gz
  • Upload date:
  • Size: 4.1 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-0.1.1.tar.gz
Algorithm Hash digest
SHA256 01a5136beda964883d6c8eef879cc3366bad8b58c7b4c53bc79265c0f1b54946
MD5 41429e3b4ab35affbe425a9c9938865e
BLAKE2b-256 e01a61a37384e5954388671c04457cc9a391ead5eccf1e5016454831d111e33f

See more details on using hashes here.

File details

Details for the file fair_kmeans_uchicago-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for fair_kmeans_uchicago-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 be9b461edfce46c542594a1efc0025c507a243f9a5d5df7ec1945a2f2a703570
MD5 582b0d97112b6f721a98864502212fca
BLAKE2b-256 9952cb55b5fb3a7cd11a151ab8f4f22afb2082fbcf11ebb04866fe21f8fecccc

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