This package is considered a duplicate. The official version of this package is found at:https://djwtouw.r-universe.dev/CCMMR
Package: CCMMR 0.2.3
Daniel Touw
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:
CCMMR_0.2.3.tar.gz
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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/djwtouw/ccmmr/issues
Datasets:
- two_half_moons - Two interlocking half moons data set
Last updated from:a18fcb4e71. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 143 | ||
| linux-devel-x86_64 | OK | 140 | ||
| source / vignettes | OK | 225 | ||
| linux-release-arm64 | OK | 139 | ||
| linux-release-x86_64 | OK | 137 | ||
| wasm-release | OK | 117 |
Exports:as.hclust.cvxclustclustersconvex_clusteringconvex_clusterpathplot.cvxclustsparse_weights
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Conversion of a 'cvxclust' object into an 'hclust' object | as.hclust.cvxclust |
| Obtain clustering from a clusterpath | clusters |
| Find a target number of clusters in the data using convex clustering | convex_clustering |
| Minimize the convex clustering loss function | convex_clusterpath |
| Plot 2D clusterpath | plot.cvxclust |
| Computation of sparse weight matrix | sparse_weights |
| Two interlocking half moons data set | two_half_moons |
