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ClusTorus  

Prediction and Clustering on the Torus by Conformal Prediction
View on CRAN: Click here


Download and install ClusTorus package within the R console
Install from CRAN:
install.packages("ClusTorus")

Install from Github:
library("remotes")
install_github("cran/ClusTorus")

Install by package version:
library("remotes")
install_version("ClusTorus", "0.2.2")



Attach the package and use:
library("ClusTorus")
Maintained by
Seungki Hong
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-10
Latest Update: 2022-01-04
Description:
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.
How to cite:
Seungki Hong (2021). ClusTorus: Prediction and Clustering on the Torus by Conformal Prediction. R package version 0.2.2, https://cran.r-project.org/web/packages/ClusTorus. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.1 (2021-02-10 12:10), 0.1.1 (2021-06-30 09:30), 0.1.3 (2021-07-26 11:10), 0.2.0 (2021-12-16 14:12), 0.2.1 (2021-12-17 10:12)
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