fuzzy-c-means

A simple python implementation of Fuzzy C-means algorithm.


Keywords
machine-learning, data-science, fuzzy-c-means, clustering, clustering-algorithm, clustering-methods, clusterization, fuzzy, fuzzy-clustering, fuzzy-cmeans-clustering, hacktoberfest
License
MIT
Install
pip install fuzzy-c-means==1.7.2

Documentation

fuzzy-c-means

GitHub PyPI Documentation Status GitHub last commit Downloads DOI

Documentation | Changelog | Citation

fuzzy-c-means is a Python module implementing the Fuzzy C-means clustering algorithm.

installation

the fuzzy-c-means package is available in PyPI. to install, simply type the following command:

pip install fuzzy-c-means

citation

if you use fuzzy-c-means package in your paper, please cite it in your publication.

@software{dias2019fuzzy,
  author       = {Madson Luiz Dantas Dias},
  title        = {fuzzy-c-means: An implementation of Fuzzy $C$-means clustering algorithm.},
  month        = may,
  year         = 2019,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.3066222},
  url          = {https://git.io/fuzzy-c-means}
}

contributing and support

this project is open for contributions. here are some of the ways for you to contribute:

  • bug reports/fix
  • features requests
  • use-case demonstrations

please open an issue with enough information for us to reproduce your problem. A minimal, reproducible example would be very helpful.

to make a contribution, just fork this repository, push the changes in your fork, open up an issue, and make a pull request!