Metadata-Version: 2.1
Name: entropymethod
Version: 0.3.4
Summary: Estimate the number of clusters in your data set.
Home-page: https://github.com/mzelling/entropymethod
Author: Michael Zellinger
Author-email: mzellinger@ethz.ch
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/mzelling/entropymethod/issues
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
License-File: LICENSE

The Entropy Method is an algorithm to estimate the number of clusters in a data set.

The method relies on the stability principle. Subsamples of your data set are repeatedly clustered into different numbers of clusters; the algorithm then assesses which number of clusters provides the most stable clustering.

For more details, see the pre-print (link to be provided)

