Metadata-Version: 2.1
Name: OptimalCluster
Version: 0.1.0
Summary: Python implementation of various algorithms to find the optimal number of clusters
Home-page: https://github.com/shreyas-bk/OptimalCluster
Author: Shreyas Kera
Author-email: shreykera7@gmail.com
License: MIT
Description: # OptimalCluster
        OptimalCluster is the Python implementation of various algorithms to find the optimal number of clusters. The algorithms include elbow, elbow-k_factor, silhouette, gap statistics, gap statistics with standard error, and gap statistics without log. Various types of visualizations are also supported.
        
        For references about the different algorithms visit the following sites:
        
        elbow : [Elbow Method](https://en.wikipedia.org/wiki/Elbow_method_(clustering).)
        
        elbow_kf : 
        
        silhouette : [Silhouette Score](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html)
        
        gap_stat : [Paper](http://www.web.stanford.edu/~hastie/Papers/gap.pdf)  |  [Python](https://anaconda.org/milesgranger/gap-statistic/notebook)
        
        gap_stat_wolog : [Paper](https://core.ac.uk/reader/12172514)
        
        # Installation
        
        To install the OptimalCluster package through the Python Package index (PyPI) run the following command:
        ```
        pip install OptimalCluster
        ```
        
        ## Documentation
        
        Visit this link : [Documentation](https://github.com/shreyas-bk/OptimalCluster/blob/master/Documentation.md)
        
        ## Example
        
        Visit this link : [Example](https://colab.research.google.com/github/shreyas-bk/OptimalClusterExampleNB/blob/master/Example.ipynb)
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
