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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: 1.4.13
Depends: R (≥ 3.3.0)
Imports: Rcpp (≥ 0.11.1), methods, Matrix, stats, graphics, grDevices
LinkingTo: Rcpp
Suggests: knitr
Published: 2024-04-26
DOI: 10.32614/CRAN.package.apcluster
Author: Ulrich Bodenhofer [aut, cre], Johannes Palme [ctb], Chrats Melkonian [ctb], Andreas Kothmeier [aut], Nikola Kostic [ctb]
Maintainer: Ulrich Bodenhofer <ulrich at bodenhofer.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: 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_1.4.13.tar.gz
Windows binaries: r-devel: apcluster_1.4.13.zip, r-release: apcluster_1.4.13.zip, r-oldrel: apcluster_1.4.13.zip
macOS binaries: r-release (arm64): apcluster_1.4.13.tgz, r-oldrel (arm64): apcluster_1.4.13.tgz, r-release (x86_64): apcluster_1.4.13.tgz, r-oldrel (x86_64): apcluster_1.4.13.tgz
Old sources: apcluster archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=apcluster to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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