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A weighted k-means implementation.

Home Page: http://redistrict.science

License: GNU General Public License v3.0

Python 99.74% Makefile 0.26%

weighted_k_means's Introduction

Weighted k-means

Build Status

To run your own weighted k-means use example.py which has step-by-step instructions. For more detailed information regarding the implementation, please refer to wkmeans.py's source code which is fully commented.

Algorithm

Please refer to the preprint for details:

Guest, O., Frank J. Kanayet, Bradley C. Love (2017). Cognitive Capacity Limits and Electoral Districting. arXiv.

Authors

Created by Olivia Guest (code) and Bradley C. Love (algorithm).

Changes to original repo:

  • Added tqdm progress monitor (Jupyter-compatible)

weighted_k_means's People

Contributors

do-me avatar oliviaguest avatar

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