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clics / pyclics-clustering

Clustering algorithms for CLICS²
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pyclics-clustering

Various clustering algoriths packaged as plugins for CLICS.

Build Status codecov PyPI

Install

Note: Due to a mis-specified dependency (see #3), pyclics must be installed prior to installing pyclics-clustering.

Connected Components

As implemented in the networkx package.

Hierarchical Link Clustering (HLC)

The algorithm is described in

Ahn YY, Bagrow JP and Lehmann S: Link communities reveal multiscale complexity in networks. Nature 466, 761 (2010).

The implementation is copied from Tamás Nepusz with slight modifications to work with CLICS networks.

Louvain Community Detection

The algorithm is described in

Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, Renaud Lefebvre: Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 10 (2008), P10008 (12pp).

We use the implementation by Thomas Aynaud.

Label Propagation

The algorithm is described in

Cordasco, G., & Gargano, L.: Community detection via semi-synchronous label propagation algorithms. In Business Applications of Social Network Analysis (BASNA), 2010 IEEE International Workshop on (pp. 1-8). IEEE.

As implemented in the networkx package.