monoClust: Perform Monothetic Clustering with Extensions to Circular Data

Implementation of the Monothetic Clustering algorithm (Chavent, 1998 <doi:10.1016/S0167-8655(98)00087-7>) on continuous data sets. A lot of extensions are included in the package, including applying Monothetic clustering on data sets with circular variables, visualizations with the results, and permutation and cross-validation based tests to support the decision on the number of clusters.

Version: 1.2.1
Depends: R (≥ 3.3.0)
Imports: cluster (≥ 2.0.5), doParallel, dplyr (≥ 1.0.0), foreach, ggplot2, graphics, grDevices, parallel, permute, purrr (≥ 0.3.0), rlang (≥ 0.3.0), stats, stringr (≥ 0.5), tibble (≥ 3.0.0), tidyr (≥ 1.0.0)
Suggests: knitr, mice, rmarkdown, covr, testthat (≥ 3.0.0)
Published: 2021-02-15
DOI: 10.32614/CRAN.package.monoClust
Author: Tan Tran ORCID iD [aut, cre], Brian McGuire [aut], Mark Greenwood ORCID iD [aut]
Maintainer: Tan Tran <vinhtantran at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: monoClust results


Reference manual: monoClust.pdf
Vignettes: Monothetic Clustering 'monoClust' Package


Package source: monoClust_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): monoClust_1.2.1.tgz, r-oldrel (arm64): monoClust_1.2.1.tgz, r-release (x86_64): monoClust_1.2.1.tgz, r-oldrel (x86_64): monoClust_1.2.1.tgz
Old sources: monoClust archive

Reverse dependencies:

Reverse imports: puls


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