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: 1.4.12
Depends: R (≥ 3.3.0)
Imports: Rcpp (≥ 0.11.1), methods, Matrix, stats, graphics, grDevices
LinkingTo: Rcpp
Suggests: knitr
Published: 2024-04-20
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: NEWS
In views: Cluster
CRAN checks: apcluster results


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


Package source: apcluster_1.4.12.tar.gz
Windows binaries: r-prerel: apcluster_1.4.11.zip, r-release: apcluster_1.4.12.zip, r-oldrel: apcluster_1.4.11.zip
macOS binaries: r-prerel (arm64): apcluster_1.4.12.tgz, r-release (arm64): apcluster_1.4.12.tgz, r-oldrel (arm64): apcluster_1.4.12.tgz, r-prerel (x86_64): apcluster_1.4.12.tgz, r-release (x86_64): apcluster_1.4.12.tgz
Old sources: apcluster archive

Reverse dependencies:

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


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