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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 |
| 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 |
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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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