Perform Monothetic Clustering with Extensions to Circular Data

Implementation of the Monothetic Clustering algorithm (Chavent, 1998 ) 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.


Reference manual

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1.2.1 by Tan Tran, 8 months ago,

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Authors: Tan Tran [aut, cre] , Brian McGuire [aut] , Mark Greenwood [aut]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports cluster, doParallel, dplyr, foreach, ggplot2, graphics, grDevices, parallel, permute, purrr, rlang, stats, stringr, tibble, tidyr

Suggests knitr, mice, rmarkdown, covr, testthat

Imported by puls.

See at CRAN