A simple python implementation of Fuzzy C-means algorithm.
Project description
fuzzy-c-means
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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