https://github.com/ax-ekk/apcluster

R package implementing affinity propagation clustering along with various utilities

https://github.com/ax-ekk/apcluster

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (5.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

R package implementing affinity propagation clustering along with various utilities

Basic Info
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Fork of UBod/apcluster
Created over 2 years ago · Last pushed almost 3 years ago

https://github.com/ax-ekk/apcluster/blob/master/

# APCluster - An R Package for Affinity Propagation Clustering
Implements Affinity Propagation clustering introduced by Frey and
Dueck (2007;
[DOI:10.1126/science.1136800](http://dx.doi.org/10.1126/science.1136800)).
The algorithms are largely
analogous to the 'Matlab' code published by Frey and Dueck.
The package further provides leveraged affinity propagation and an
algorithm for exemplar-based agglomerative clustering that can also be
used to join clusters obtained from affinity propagation. Various
plotting functions are available for analyzing clustering results.

This is the source code repository. The package can be installed from
[CRAN](https://CRAN.R-project.org/package=apcluster).
Further information and installation instructions are also available from
http://www.bioinf.jku.at/software/apcluster/.

The package is maintained by Ulrich Bodenhofer. The package itself has grown
over the years in which multiple students have contributed
significant parts: Johannes Palme, Chrats Melkonian, Andreas Kothmeier, and
Nikola Kostic

Owner

  • Login: ax-ekk
  • Kind: user

GitHub Events

Total
Last Year