Documentation | Changelog | Citation
fuzzy-c-means is a Python module implementing the Fuzzy C-means clustering algorithm.
the fuzzy-c-means package is available in PyPI. to install, simply type the following command:
pip install fuzzy-c-means
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}
}
this project is open for contributions. here are some of the ways for you to contribute:
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!
FAQs
A simple python implementation of Fuzzy C-means algorithm.
We found that fuzzy-c-means demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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