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:	1.4.10
Depends:	R (≥ 3.3.0)
Imports:	Rcpp (≥ 0.11.1), methods, Matrix, stats, graphics, grDevices
LinkingTo:	Rcpp
Suggests:	knitr
Published:	2022-05-31
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

Documentation:

Reference manual:	apcluster.pdf
Vignettes:	An R Package for Affinity Propagation Clustering

Downloads:

Package source:	apcluster_1.4.10.tar.gz
Windows binaries:	r-devel: apcluster_1.4.10.zip, r-release: apcluster_1.4.10.zip, r-oldrel: apcluster_1.4.10.zip
macOS binaries:	r-release (arm64): apcluster_1.4.10.tgz, r-oldrel (arm64): apcluster_1.4.10.tgz, r-release (x86_64): apcluster_1.4.10.tgz, r-oldrel (x86_64): apcluster_1.4.10.tgz
Old sources:	apcluster archive

Reverse dependencies:

Reverse depends:	clusterCons, LPKsample
Reverse imports:	Clustering, cogena, debCAM, IPCAPS, ipft, kebabs, Linnorm, mAPKL, mina, outlierensembles, schemr, WebGestaltR
Reverse suggests:	bluster, DAPAR, diceR, FCPS, GeneExpressionSignature, mlr3cluster, shipunov, simplifyEnrichment

Linking:

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