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EnsCat: Clustering of Categorical Data

An implementation of the clustering methods of categorical data discussed in Amiri, S., Clarke, B., and Clarke, J. (2015). Clustering categorical data via ensembling dissimilarity matrices. Preprint <doi:10.48550/arXiv.1506.07930>.

Version: 1.1
Depends: stats, utils, graphics, dendextend, ggplot2, ggdendro, seqinr, R (≥ 3.3.2)
Published: 2017-02-01
DOI: 10.32614/CRAN.package.EnsCat
Author: Saeid Amiri, Bertrand Clarke and Jennifer Clarke.
Maintainer: Saeid Amiri <saeid.amiri1 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/jlp2duke/EnsCat/wiki/How-To-with-Examples
NeedsCompilation: no
CRAN checks: EnsCat results

Documentation:

Reference manual: EnsCat.pdf

Downloads:

Package source: EnsCat_1.1.tar.gz
Windows binaries: r-devel: EnsCat_1.1.zip, r-release: EnsCat_1.1.zip, r-oldrel: EnsCat_1.1.zip
macOS binaries: r-release (arm64): EnsCat_1.1.tgz, r-oldrel (arm64): EnsCat_1.1.tgz, r-release (x86_64): EnsCat_1.1.tgz, r-oldrel (x86_64): EnsCat_1.1.tgz
Old sources: EnsCat archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=EnsCat 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.