apcluster: Affinity Propagation Clustering

Implements Affinity Propagation clustering introduced by Frey and Dueck (2007) <doi: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.

Version: 1.4.7
Depends: R (≥ 3.0.0)
Imports: Rcpp (≥ 0.11.1), methods, Matrix, stats, graphics, grDevices
LinkingTo: Rcpp
Suggests: Biostrings, kebabs (≥ 1.5.4), knitr
Published: 2018-05-29
Author: Ulrich Bodenhofer, Johannes Palme, Chrats Melkonian, Andreas Kothmeier, Nikola Kostic
Maintainer: Ulrich Bodenhofer <bodenhofer at bioinf.jku.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.bioinf.jku.at/software/apcluster/ https://github.com/UBod/apcluster
NeedsCompilation: yes
Citation: apcluster citation info
Materials: README NEWS
In views: Cluster
CRAN checks: apcluster results


Reference manual: apcluster.pdf
Vignettes: An R Package for Affinity Propagation Clustering
Package source: apcluster_1.4.7.tar.gz
Windows binaries: r-devel: apcluster_1.4.7.zip, r-release: apcluster_1.4.7.zip, r-oldrel: apcluster_1.4.7.zip
OS X binaries: r-release: apcluster_1.4.7.tgz, r-oldrel: apcluster_1.4.7.tgz
Old sources: apcluster archive

Reverse dependencies:

Reverse depends: LPKsample
Reverse imports: diceR, IPCAPS, ipft, NFP, WebGestaltR


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