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!
Release files for fuzzy-c-means 2.3.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fuzzy_c_means-2.3.1.tar.gz | 17.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fuzzy_c_means-2.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 37.8 kB
Release files / fuzzy_c_means-2.3.1.tar.gz
| Download URL | fuzzy_c_means-2.3.1.tar.gz |
|---|---|
| Size | 17.0 kB |
| Tags | Source |
|
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Release files / fuzzy_c_means-2.3.1-py3-none-any.whl
| Download URL | fuzzy_c_means-2.3.1-py3-none-any.whl |
|---|---|
| Size | 20.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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