Metadata-Version: 2.1
Name: kcluster
Version: 0.0.1
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
Description: # 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
        
        '''python
        from kcluster import KCluster
        
        model = KCluster()
        # example that uses kmodes for categorical & kmeans for quantitative
        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]
        '''
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
Provides-Extra: dev
