pyclics-clustering
Various clustering algoriths packaged as plugins for CLICS.
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.
Release files for pyclics-clustering 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyclics-clustering-1.0.0.tar.gz | 6.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyclics_clustering-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.5 kB
Release files / pyclics-clustering-1.0.0.tar.gz
| Download URL | pyclics-clustering-1.0.0.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
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Release files / pyclics_clustering-1.0.0-py3-none-any.whl
| Download URL | pyclics_clustering-1.0.0-py3-none-any.whl |
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| Size | 6.9 kB |
| Tags | Python 3 |
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