Package: apcluster
Type: Package
Title: Affinity Propagation Clustering
Version: 1.4.9
Date: 2022-01-14
Depends: R (>= 3.3.0)
Imports: Rcpp (>= 0.11.1), methods, Matrix, stats, graphics, grDevices
Suggests: knitr
Author: Ulrich Bodenhofer, Johannes Palme, Chrats Melkonian, Andreas Kothmeier,
	Nikola Kostic
Maintainer: Ulrich Bodenhofer <bodenhofer@bioinf.jku.at>
Description: 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.
License: GPL (>= 2)
Collate: AllClasses.R AllGenerics.R access-methods.R coerce-methods.R
        show-methods.R labels-methods.R length-methods.R revDend.R
        heatmap-methods.R plot-methods.R cutree-methods.R
        sort-methods.R aggExCluster-methods.R apcluster-methods.R
        apclusterL-methods.R apclusterK-methods.R apclusterDemo.R
        preferenceRange-methods.R similarity.R simpleDist.R
        conversions.R
URL: http://www.bioinf.jku.at/software/apcluster/
        https://github.com/UBod/apcluster
VignetteBuilder: knitr
LinkingTo: Rcpp
LazyLoad: yes
Repository: CRAN
NeedsCompilation: yes
Packaged: 2022-01-14 12:58:35 UTC; ulrich
Date/Publication: 2022-01-14 17:12:42 UTC
Built: R 4.1.2; x86_64-pc-linux-gnu; 'Fri, 21 Jan 2022 11:51:24 +0100'; unix
