https://github.com/yangeorget/clustering-algorithms
K-means and C-means experiments with Numpy
https://github.com/yangeorget/clustering-algorithms
clustering clustering-algorithm numpy
Last synced: 3 months ago
JSON representation
K-means and C-means experiments with Numpy
- Host: GitHub
- URL: https://github.com/yangeorget/clustering-algorithms
- Owner: yangeorget
- License: mit
- Created: 2024-03-18T09:57:27.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-05-23T14:45:19.000Z (about 2 years ago)
- Last Synced: 2026-01-05T16:22:02.237Z (6 months ago)
- Topics: clustering, clustering-algorithm, numpy
- Language: Python
- Homepage: https://pypi.org/project/clustering-algorithms
- Size: 33.2 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# Clustering algorithms powered by Numpy
This is an fast implementation of K-Means, K-Means++ and C-Means with Numpy.
## How to install ?
This package is distributed on
and can be installed by the following command:
```bash
pip install clustering-algorithms
```
## How to contribute ?
Comments and PR are very welcome.
You can check the coding conventions by running the following command:
```bash
./scripts/bash/style.sh
```
## Miscellaneous
### Performance comparison of K-Means and C-Means
```bash
PYTHONPATH=. python ./scripts/python/performance.py
```
### Plotting K-Means and C-Means
```bash
PYTHONPATH=. python ./scripts/python/plot.py
```