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: | 0.0.1 |
Depends: | R (≥ 3.6.0) |
Imports: | BAMBI, igraph, purrr, ggplot2, rlang |
Suggests: | knitr, rmarkdown, tidyverse, cowplot |
Published: | 2021-02-10 |
Author: | Sungkyu Jung [aut, cph], Seungki Hong [aut, cre], Kiho Park [ctb], Byungwon Kim [ctb] |
Maintainer: | Seungki Hong <skgaboja at snu.ac.kr> |
BugReports: | https://github.com/sungkyujung/ClusTorus/issues |
License: | GPL-3 |
URL: | https://github.com/sungkyujung/ClusTorus |
NeedsCompilation: | no |
CRAN checks: | ClusTorus results |
Reference manual: | ClusTorus.pdf |
Vignettes: |
Introduction to ClusTorus |
Package source: | ClusTorus_0.0.1.tar.gz |
Windows binaries: | r-devel: ClusTorus_0.0.1.zip, r-release: ClusTorus_0.0.1.zip, r-oldrel: ClusTorus_0.0.1.zip |
macOS binaries: | r-release: ClusTorus_0.0.1.tgz, r-oldrel: ClusTorus_0.0.1.tgz |
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