Package: CCMMR 0.2.1

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_0.2.1.tar.gz
CCMMR_0.2.1.zip(r-4.5)CCMMR_0.2.1.zip(r-4.4)CCMMR_0.2.1.zip(r-4.3)
CCMMR_0.2.1.tgz(r-4.4-x86_64)CCMMR_0.2.1.tgz(r-4.4-arm64)CCMMR_0.2.1.tgz(r-4.3-x86_64)CCMMR_0.2.1.tgz(r-4.3-arm64)
CCMMR_0.2.1.tar.gz(r-4.5-noble)CCMMR_0.2.1.tar.gz(r-4.4-noble)
CCMMR_0.2.1.tgz(r-4.4-emscripten)CCMMR_0.2.1.tgz(r-4.3-emscripten)
CCMMR.pdf |CCMMR.html✨
CCMMR/json (API)
NEWS

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

Peer review:

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

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

On CRAN:

3.48 score 2 stars 1 scripts 154 downloads 6 exports 3 dependencies

Last updated 15 days agofrom:3d347bca3f. Checks:OK: 1 ERROR: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-win-x86_64ERRORNov 08 2024
R-4.5-linux-x86_64ERRORNov 08 2024
R-4.4-win-x86_64ERRORNov 08 2024
R-4.4-mac-x86_64ERRORNov 08 2024
R-4.4-mac-aarch64ERRORNov 08 2024
R-4.3-win-x86_64ERRORNov 08 2024
R-4.3-mac-x86_64ERRORNov 08 2024
R-4.3-mac-aarch64ERRORNov 08 2024

Exports:as.hclust.cvxclustclustersconvex_clusteringconvex_clusterpathplot.cvxclustsparse_weights

Dependencies:RANNRcppRcppEigen