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CCMMR: Minimization of the Convex Clustering Loss Function

Implements the convex clustering through majorization-minimization (CCMM) algorithm described in Touw, Groenen, and Terada (2022) <doi:10.48550/arXiv.2211.01877> to perform minimization of the convex clustering loss function.

Version:0.2.1
Depends:R (≥ 4.1), stats (≥ 4.1)
Imports:RANN (≥ 2.6.1),Rcpp (≥ 1.0.7), methods (≥ 4.1.0), graphics (≥ 4.1.0)
LinkingTo:Rcpp,RcppEigen
Published:2024-11-07
DOI:10.32614/CRAN.package.CCMMR
Author:Daniel TouwORCID iD [aut, cre], Patrick GroenenORCID iD [aut], Yoshikazu Terada [aut]
Maintainer:Daniel Touw <touw at ese.eur.nl>
BugReports:https://github.com/djwtouw/CCMMR/issues/
License:GPL (≥ 3)
URL:https://github.com/djwtouw/CCMMR/
NeedsCompilation:yes
Materials:NEWS
CRAN checks:CCMMR results

Documentation:

Reference manual:CCMMR.html ,CCMMR.pdf

Downloads:

Package source: CCMMR_0.2.1.tar.gz
Windows binaries: r-devel:CCMMR_0.2.1.zip, r-release:CCMMR_0.2.1.zip, r-oldrel:CCMMR_0.2.1.zip
macOS binaries: r-release (arm64):CCMMR_0.2.1.tgz, r-oldrel (arm64):CCMMR_0.2.1.tgz, r-release (x86_64):CCMMR_0.2.1.tgz, r-oldrel (x86_64):CCMMR_0.2.1.tgz
Old sources: CCMMR archive

Linking:

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


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