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: 0.2.2 Depends: R (≥ 3.6.0) Imports: BAMBI, igraph, purrr, ggplot2, rlang, stats, utils, cowplot Suggests: knitr, rmarkdown, tidyverse Published: 2022-01-04 DOI: 10.32614/CRAN.package.ClusTorus 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ClusTorus to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4