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


Reference manual: EnsCat.pdf


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


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