on.torus

<p>d-dimensional angular data(vector or matrix) whose unit is the radian.</p>

<p><code>on.torus</code> transforms d-dimensional angular data
  to be on \([0, 2\pi)^d\).</p>

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.

Seungki Hong

ClusTorus

Prediction and Clustering on the Torus by Conformal Prediction

on.torus: Transform the angular data to be on principal interval

Description

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Examples