Package: conclust 1.1
Tran Khanh Hiep
conclust: Pairwise Constraints Clustering
There are 4 main functions in this package: ckmeans(), lcvqe(), mpckm() and ccls(). They take an unlabeled dataset and two lists of must-link and cannot-link constraints as input and produce a clustering as output.
Authors:
conclust_1.1.tar.gz
conclust_1.1.tar.gz(r-4.5-noble)conclust_1.1.tar.gz(r-4.4-noble)
conclust_1.1.tgz(r-4.4-emscripten)conclust_1.1.tgz(r-4.3-emscripten)
conclust.pdf |conclust.html✨
conclust/json (API)
| # Install 'conclust' in R: |
| install.packages('conclust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:f6e1398d54. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 10 2024 |
| R-4.5-linux | OK | Sep 10 2024 |
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Pairwise Constraints Clustering | conclust-package conclust |
| Pairwise Constrained Clustering by Local Search | ccls |
| COP K-means algorithm | ckmeans |
| LCVQE algorithm | lcvqe |
| MPC K-means algorithm | mpckm |