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
aggExCluster-methods.R apcluster-methods.R apclusterL-methods.R
apclusterK-methods.R apclusterDemo.R preferenceRange.R
similarity.R simpleDist.R sparseToFull.R

Rcpp (>= 0.11.0), methods, stats, graphics
The apcluster package implements Frey's and Dueck's
Affinity Propagation clustering in R.  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.

Rcpp (>= 0.11.1), methods, stats, graphics
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.R similarity.R simpleDist.R sparseToFull.R

Rcpp (>= 0.11.1), methods, Matrix, stats, graphics
Ulrich Bodenhofer, Johannes Palme, Chrats Melkonian, Andreas Kothmeier
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

Rcpp (>= 0.11.1), methods, Matrix, stats, graphics, grDevices
Ulrich Bodenhofer, Johannes Palme, Chrats Melkonian, Andreas Kothmeier,
Nikola Kostic
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.