Package: CEC 0.11.2
Simon Garnier
CEC: Cross-Entropy Clustering
Splits data into Gaussian type clusters using the Cross-Entropy Clustering ('CEC') method. This method allows for the simultaneous use of various types of Gaussian mixture models, for performing the reduction of unnecessary clusters, and for discovering new clusters by splitting them. 'CEC' is based on the work of Spurek, P. and Tabor, J. (2014) <doi:10.1016/j.patcog.2014.03.006>.
Authors:
CEC_0.11.2.tar.gz
CEC_0.11.2.tar.gz(r-4.5-noble)CEC_0.11.2.tar.gz(r-4.4-noble)
CEC_0.11.2.tgz(r-4.4-emscripten)CEC_0.11.2.tgz(r-4.3-emscripten)
CEC.pdf |CEC.html✨
CEC/json (API)
NEWS
| # Install 'CEC' in R: |
| install.packages('CEC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/swarm-lab/cec/issues
Datasets:
- Tset - T-Shaped Clusters
- fourGaussians - Four Gaussian Clusters
- mixShapes - Mixed Shapes Clusters
- threeGaussians - Three Gaussian Clusters
Last updated 15 days agofrom:82a4dcc148. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 11 2024 |
| R-4.5-linux-x86_64 | OK | Oct 11 2024 |
Exports:cecinit.centersmouseset
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cross-Entropy Clustering | cec cec-class |
| Four Gaussian Clusters | fourGaussians |
| Cluster Center Initialization | init.centers |
| Mixed Shapes Clusters | mixShapes |
| Mouse | mouseset |
| Plot CEC Objects | plot.cec |
| Printing Cross Entropy Clusters | print.cec |
| Three Gaussian Clusters | threeGaussians |
| T-Shaped Clusters | Tset |
