This package is considered a duplicate. The official version of this package is found at:https://djwtouw.r-universe.dev/CCMMR
Package: CCMMR 0.2.1
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_0.2.1.tar.gz
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://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 2 months agofrom:88248c9e1f. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 08 2024 |
| R-4.5-linux-x86_64 | OK | Dec 08 2024 |
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 |
