OptimalCluster 0.1.0

Python implementation of various algorithms to find the optimal number of clusters

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

elbow_kf :

silhouette : Silhouette Score

gap_stat : Paper | Python

gap_stat_wolog : Paper

Installation

To install the OptimalCluster package through the Python Package index (PyPI) run the following command:

pip install OptimalCluster

Documentation

Visit this link : Documentation

Example

Visit this link : Example