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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 |
| 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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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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