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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:0.1.4
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:2025-09-22
DOI:10.32614/CRAN.package.T4cluster
Author:Kisung YouORCID iD [aut, cre]
Maintainer:Kisung You <kisung.you at outlook.com>
BugReports:https://github.com/kisungyou/T4cluster/issues
License:MIT + fileLICENSE
URL:https://www.kisungyou.com/T4cluster/
NeedsCompilation:yes
Materials:README,NEWS
CRAN checks:T4cluster results

Documentation:

Reference manual:T4cluster.html ,T4cluster.pdf

Downloads:

Package source: T4cluster_0.1.4.tar.gz
Windows binaries: r-devel:T4cluster_0.1.4.zip, r-release:T4cluster_0.1.4.zip, r-oldrel:T4cluster_0.1.4.zip
macOS binaries: r-release (arm64):T4cluster_0.1.4.tgz, r-oldrel (arm64):T4cluster_0.1.4.tgz, r-release (x86_64):T4cluster_0.1.4.tgz, r-oldrel (x86_64):T4cluster_0.1.4.tgz
Old sources: T4cluster archive

Reverse dependencies:

Reverse imports:Riemann,TDAkit

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=T4clusterto link to this page.


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