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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 |
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 imports: | Riemann, TDAkit |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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