Package: apcluster
Type: Package
Title: Affinity Propagation Clustering
Version: 1.4.12
Date: 2024-04-19
Depends: R (>= 3.3.0)
Imports: Rcpp (>= 0.11.1), methods, Matrix, stats, graphics, grDevices
Suggests: knitr
Author: Ulrich Bodenhofer [aut, cre],
        Johannes Palme [ctb],
	Chrats Melkonian [ctb],
	Andreas Kothmeier [aut],
	Nikola Kostic [ctb]
Maintainer: Ulrich Bodenhofer <ulrich@bodenhofer.com>
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: https://github.com/UBod/apcluster
VignetteBuilder: knitr
LinkingTo: Rcpp
LazyLoad: yes
Repository: CRAN
NeedsCompilation: yes
Packaged: 2024-04-19 12:11:31 UTC; ulrich
Date/Publication: 2024-04-20 00:22:40 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-23 23:51:18 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
