Package: CCMMR 0.2.3

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.

Authors:Daniel Touw [aut, cre], Patrick Groenen [aut], Yoshikazu Terada [aut]

CCMMR_0.2.3.tar.gz
CCMMR_0.2.3.zip(r-4.7-x86_64)CCMMR_0.2.3.zip(r-4.7-arm64)CCMMR_0.2.3.zip(r-4.6-x86_64)CCMMR_0.2.3.zip(r-4.6-arm64)CCMMR_0.2.3.zip(r-4.5-x86_64)
CCMMR_0.2.3.tgz(r-4.6-x86_64)CCMMR_0.2.3.tgz(r-4.6-arm64)CCMMR_0.2.3.tgz(r-4.5-x86_64)CCMMR_0.2.3.tgz(r-4.5-arm64)
CCMMR_0.2.3.tar.gz(r-4.7-arm64)CCMMR_0.2.3.tar.gz(r-4.7-x86_64)CCMMR_0.2.3.tar.gz(r-4.6-arm64)CCMMR_0.2.3.tar.gz(r-4.6-x86_64)
CCMMR_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CCMMR/json (API)

# Install 'CCMMR' in R:
install.packages('CCMMR', repos = c('https://djwtouw.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/djwtouw/ccmmr/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

3.48 score 3 stars 2 scripts 462 downloads 6 exports 3 dependencies

Last updated from:c72e58d01d. Checks:13 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR92
linux-devel-x86_64ERROR113
source / vignettesOK191
linux-release-arm64ERROR130
linux-release-x86_64ERROR117
macos-release-arm64ERROR155
macos-release-x86_64ERROR403
macos-oldrel-arm64ERROR149
macos-oldrel-x86_64ERROR337
windows-devel-arm64ERROR309
windows-devel-x86_64ERROR129
windows-release-arm64ERROR328
windows-release-x86_64ERROR105
windows-oldrel-x86_64ERROR99
wasm-releaseOK107

Exports:as.hclust.cvxclustclustersconvex_clusteringconvex_clusterpathplot.cvxclustsparse_weights

Dependencies:RANNRcppRcppEigen