clusterpath-package {clusterpath}R Documentation

Fast agglomerative convex clustering, non-Rcpp implementation

Description

Implements the clusterpath, a clustering method in which all the clusters are solutions to a convex optimization problem with fusion penalties. This package uses standard R/C headers to wrap the C++ implementation.

Details

The DESCRIPTION file:

Package: clusterpath
Type: Package
Title: Fast agglomerative convex clustering, non-Rcpp implementation
Version: 1.2
Author: Toby Dylan Hocking
Maintainer: Toby Dylan Hocking <toby@sg.cs.titech.ac.jp>
Description: Implements the clusterpath, a clustering method in which all the clusters are solutions to a convex optimization problem with fusion penalties. This package uses standard R/C headers to wrap the C++ implementation.
License: GPL-3
Depends: lattice, ggplot2, plyr, reshape2, latticeExtra, Matrix, grid
Suggests: rgl, directlabels, mclust, parallel
Repository: R-Forge
Repository/R-Forge/Project: clusterpath
Repository/R-Forge/Revision: 97
Repository/R-Forge/DateTimeStamp: 2015-04-22 13:57:32
Date/Publication: 2015-04-22 13:57:32

Index of help topics:

alphacolnames           alphacolnames
assign.labels           assign labels
calcstats               calcstats
castbreakpoints         castbreakpoints
cluster.points          cluster points
cluster3d               cluster3d
clusterings             clusterings
clusterpath-package     Fast agglomerative convex clustering, non-Rcpp
                        implementation
clusterpath.l1.general
                        clusterpath l1 general
clusterpath.l1.id       clusterpath l1 id
clusterpath.l2          clusterpath l2
clusterpath.l2.general
                        clusterpath l2 general
cut.clusterpath         cut clusterpath
cut.clusterpath.labels
                        cut clusterpath labels
cvxcheck                cvxcheck
cvxmod.available        cvxmod available
cvxmod.cluster          cvxmod cluster
e.exponential           e exponential
e.exponential.auto      e exponential auto
e.usual                 e usual
e.usual.k               e usual k
exponential.eigenvectors
                        exponential eigenvectors
fillin                  fillin
gendata                 gendata
get.best.eigenvectors   get best eigenvectors
get.old.best            get old best
halfmoon.cluster        halfmoon cluster
norm.rand.index         norm rand index
plot.clusterpath        plot clusterpath
plot.l2                 plot l2
plot.predictclusterpath
                        plot predictclusterpath
plot2d                  plot2d
plotpath3d              plotpath3d
plotpathmatrix          plotpathmatrix
predict.clusterpath     predict clusterpath
python.command          python command
usual.eigenvectors      usual eigenvectors

Author(s)

Toby Dylan Hocking


[Package clusterpath version 1.2 Index]