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Partition data points (variables) into communities/clusters, similar to clustering algorithms, such as k-means and hierarchical clustering. This package implements a clustering algorithm based on a new metric CORD, defined for high dimensional parametric or semi-parametric distributions. Read http://arxiv.org/abs/1508.01939 for more details.
Version: | 0.1.1 |
Imports: | Rcpp |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | pcaPP |
Published: | 2015-09-20 |
DOI: | 10.32614/CRAN.package.cord |
Author: | Xi (Rossi) LUO, Florentina Bunea, Christophe Giraud |
Maintainer: | Xi (Rossi) LUO <xi.rossi.luo at gmail.com> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | ChangeLog |
CRAN checks: | cord results |
Reference manual: | cord.pdf |
Package source: | cord_0.1.1.tar.gz |
Windows binaries: | r-devel: cord_0.1.1.zip, r-release: cord_0.1.1.zip, r-oldrel: cord_0.1.1.zip |
macOS binaries: | r-release (arm64): cord_0.1.1.tgz, r-oldrel (arm64): cord_0.1.1.tgz, r-release (x86_64): cord_0.1.1.tgz, r-oldrel (x86_64): cord_0.1.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=cord to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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