T4cluster: Tools for Cluster Analysis

Cluster analysis is one of the most fundamental problems in data science. We provide a variety of algorithms from clustering to the learning on the space of partitions. See Hennig, Meila, and Rocci (2016, ISBN:9781466551886) for general exposition to cluster analysis.

Version: 0.1.2
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.5), Rdpack, Rdimtools, ADMM, MASS, fda, ggplot2, lpSolve, maotai, mclustcomp, rstiefel, scatterplot3d, stats, utils
LinkingTo: Rcpp, RcppArmadillo
Published: 2021-08-16
DOI: 10.32614/CRAN.package.T4cluster
Author: Kisung You ORCID iD [aut, cre]
Maintainer: Kisung You <kisungyou at outlook.com>
BugReports: https://github.com/kisungyou/T4cluster/issues
License: MIT + file LICENSE
URL: https://kisungyou.com/T4cluster/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: T4cluster results


Reference manual: T4cluster.pdf


Package source: T4cluster_0.1.2.tar.gz
Windows binaries: r-devel: T4cluster_0.1.2.zip, r-release: T4cluster_0.1.2.zip, r-oldrel: T4cluster_0.1.2.zip
macOS binaries: r-release (arm64): T4cluster_0.1.2.tgz, r-oldrel (arm64): T4cluster_0.1.2.tgz, r-release (x86_64): T4cluster_0.1.2.tgz, r-oldrel (x86_64): T4cluster_0.1.2.tgz
Old sources: T4cluster archive

Reverse dependencies:

Reverse imports: Riemann, TDAkit


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