Awesome
CluSim: a package for calculating clustering similarity
This package implements a series of methods used to compare Clusterings.
Installation
This package is available in PyPI. Just run the following command on terminal to install.
$ pip install clusim
You can also source the code directly from the github project page.
Docs
The full documentation can be found at: Hoosier-Clusters.github.io/clusim
Papers
-
A.J. Gates and YY Ahn [2017] "The Impact of Random Models on Clustering Similarity." JMLR 18, 1-28.
-
A.J. Gates, I.B. Wood, W.P. Hetrick, and YY Ahn [2019]. "Element-centric clustering comparison unifies overlaps and hierarchy". Scientific Reports 9, 8574. arxiv:1706.06136
-
A.J. Gates and YY Ahn [2019]. "CluSim: a python package for calculating clustering similarity". Journal of Open Source Software 4(35), 1264.
Contributing
When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method with the owners of this repository before making a change.
Please note we have a code of conduct, please follow it in all your interactions with the project.
Pull request process
We recommend that you create a Git branch for each pull request (PR).
Code of Conduct
Please note that the CluSim project is released with a Contributor Code of Conduct. By contributing to this project you agree to abide by its terms.
Email Questions or Comments?
If you prefer to email, please contact us at: ajgates42 [at] gmail [dot] com