CluSim: a python package for calculating clustering similarity

Abstract

Clustering similarity measures can be classified based on the cluster types: i) partitions that group elements into non-overlapping clusters, ii) hierarchical clusterings that group elements into a nested series of partitions (a.k.a. dendrogram), or iii) overlapping clusterings with elements belonging to multiple clusters. Here, we introduce CluSim, a python package providing a unified library of over 20 clustering similarity measures for partitions, dendrograms, and overlapping clusterings.

Publication
Journal of Open Source Software 4 (35) 1264
Alexander J. Gates
Alexander J. Gates
Assistant Professor

I am a computational social scientist and network scientist with a passion for uncovering how interconnectedness shapes our lives.

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