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.


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install.packages("ClusTorus")

0.1.3 by Seungki Hong, 2 months ago


https://github.com/sungkyujung/ClusTorus


Report a bug at https://github.com/sungkyujung/ClusTorus/issues


Browse source code at https://github.com/cran/ClusTorus


Authors: Sungkyu Jung [aut, cph] , Seungki Hong [aut, cre] , Kiho Park [ctb] , Byungwon Kim [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports BAMBI, igraph, purrr, ggplot2, rlang, stats, utils

Suggests knitr, rmarkdown, tidyverse, cowplot


See at CRAN