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omadson/fuzzy-c-means

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fuzzy-c-means

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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!

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