This is a two-in-one package which provides interfaces to both R and Python. It implements fast hierarchical, agglomerative clustering routines. Part of the functionality is designed as drop-in replacement for existing routines: “linkage” in the SciPy package “scipy.cluster.hierarchy”, “hclust” in R's “stats” package, and the “flashClust” package. It provides the same functionality with the benefit of a much faster implementation. Moreover, there are memory-saving routines for clustering of vector data, which go beyond what the existing packages provide. For information on how to install the Python files, see the file INSTALL in the source distribution.
Version: | 1.1.13 |
Enhances: | stats, flashClust |
Published: | 2013-12-17 |
Author: | Daniel Müllner, http://danifold.net |
Maintainer: | Daniel Müllner <daniel at danifold.net> |
License: | FreeBSD | GPL-2 | file LICENSE |
URL: | http://danifold.net/fastcluster.html |
NeedsCompilation: | yes |
Citation: | fastcluster citation info |
Materials: | README NEWS INSTALL |
In views: | Cluster |
CRAN checks: | fastcluster results |
Reference manual: | fastcluster.pdf |
Vignettes: |
User's manual |
Package source: | fastcluster_1.1.13.tar.gz |
Windows binaries: | r-devel: fastcluster_1.1.13.zip, r-release: fastcluster_1.1.13.zip, r-oldrel: fastcluster_1.1.13.zip |
OS X Snow Leopard binaries: | r-release: fastcluster_1.1.13.tgz, r-oldrel: fastcluster_1.1.13.tgz |
OS X Mavericks binaries: | r-release: fastcluster_1.1.13.tgz |
Old sources: | fastcluster archive |
Reverse imports: | freqweights, heatmap3, SpatialVx |
Reverse suggests: | hyperSpec, linkcomm, Rclusterpp |