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 [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

Documentation:

Reference manual:

T4cluster.pdf

Downloads:

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

Linking:

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