Metadata-Version: 2.1
Name: kcluster
Version: 0.0.2
Summary: Cluster using a combined kmeans, kmedians, and kmodes. Allows weightings
Home-page: https://github.com/chrisebell24/kcluster
Author: Christopher Bell
Author-email: Chris.E.Bell24@gmail.com
Maintainer: Christopher Bell
Maintainer-email: Chris.E.Bell24@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Requires-Dist: pandas (>=0.25.1)
Requires-Dist: numpy (>=1.6.5)
Requires-Dist: scikit-learn (>=0.21.3)
Provides-Extra: dev
Requires-Dist: pytest (>=3.7) ; extra == 'dev'

# KCluster

This is project is a class that allows for a combination of clustering numeric and string data using kmean, kmedians, and kmodes all in one. You can also weight your variables.

## Installation

Run the following to install: 

```python
pip install kcluster
```

## Usage

```
from kcluster import KCluster
model = KCluster()
model.fit(X)
```

## Development kcluster

To install kcluster, along with the tools you need to develop and run tests, run the following in your virtualend:
```bash
$ pip install -e .[dev]
```


