The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
Depends: R (≥ 4.1), stats (≥ 4.1)
Imports: RANN (≥ 2.6.1), Rcpp (≥ 1.0.7), methods (≥ 4.1.0), graphics (≥ 4.1.0), r2r (≥ 0.1.1)
LinkingTo: Rcpp, RcppEigen
Published: 2023-12-21
Author: Daniel Touw ORCID iD [aut, cre], Patrick Groenen ORCID 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.pdf

Downloads:

Package source: CCMMR_0.2.tar.gz
Windows binaries: r-devel: CCMMR_0.2.zip, r-release: CCMMR_0.2.zip, r-oldrel: CCMMR_0.2.zip
macOS binaries: r-release (arm64): CCMMR_0.2.tgz, r-oldrel (arm64): CCMMR_0.2.tgz, r-release (x86_64): CCMMR_0.2.tgz, r-oldrel (x86_64): CCMMR_0.2.tgz
Old sources: CCMMR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CCMMR to link to this page.

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.
Health stats visible at Monitor.