clusterpath-package {clusterpath} | R Documentation |
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.
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
Toby Dylan Hocking