ClusTorus: Prediction and Clustering on the Torus by Conformal Prediction

Provides various tools of for clustering multivariate angular data on the torus. The package provides angular adaptations of usual clustering methods such as the k-means clustering, pairwise angular distances, which can be used as an input for distance-based clustering algorithms, and implements clustering based on the conformal prediction framework. Options for the conformal scores include scores based on a kernel density estimate, multivariate von Mises mixtures, and naive k-means clusters. Moreover, the package provides some basic data handling tools for angular data.

Version: 0.2.2
Depends: R (≥ 3.6.0)
Imports: BAMBI, igraph, purrr, ggplot2, rlang, stats, utils, cowplot
Suggests: knitr, rmarkdown, tidyverse
Published: 2022-01-04
DOI: 10.32614/CRAN.package.ClusTorus
Author: Sungkyu Jung [aut, cph], Seungki Hong [aut, cre], Kiho Park [ctb], Byungwon Kim [ctb]
Maintainer: Seungki Hong <skgaboja at>
License: GPL-3
NeedsCompilation: no
CRAN checks: ClusTorus results


Reference manual: ClusTorus.pdf
Vignettes: Introduction to ClusTorus


Package source: ClusTorus_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ClusTorus_0.2.2.tgz, r-oldrel (arm64): ClusTorus_0.2.2.tgz, r-release (x86_64): ClusTorus_0.2.2.tgz, r-oldrel (x86_64): ClusTorus_0.2.2.tgz
Old sources: ClusTorus archive


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