toydata2

Artificially generated data on the 2 dimensional torus

datasets

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

Sungkyu Jung

Kiho Park

Byungwon Kim

toydata2 function

This <code>data.frame</code> contains the following components:<dl class="dl-horizontal">
 <dt><code>phi</code></dt><dd>column for the first angle</dd>
 <dt><code>psi</code></dt><dd>column for the second angle</dd>
 <dt><code>label</code></dt><dd>column for the clustering membership</dd>
</dl>

Format

toydata2: Labelled Data for 3 Clusters — toydata2

This <code>data.frame</code> contains the following components:<dl class='dl-horizontal'>
 <dt><code>phi</code></dt><dd>column for the first angle</dd>
 <dt><code>psi</code></dt><dd>column for the second angle</dd>
 <dt><code>label</code></dt><dd>column for the clustering membership</dd>
</dl>

toydata2: toydata2: Labelled Data for 3 Clusters

Description

Usage

Arguments

Format

Details

References