Package: CEC 0.11.1

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:Kamieniecki Konrad [aut], Spurek Przemyslaw [ctb], Simon Garnier [cre, ctb]

CEC_0.11.1.tar.gz
CEC_0.11.1.zip(r-4.5)CEC_0.11.1.zip(r-4.4)CEC_0.11.1.zip(r-4.3)
CEC_0.11.1.tgz(r-4.4-x86_64)CEC_0.11.1.tgz(r-4.4-arm64)CEC_0.11.1.tgz(r-4.3-x86_64)CEC_0.11.1.tgz(r-4.3-arm64)
CEC_0.11.1.tar.gz(r-4.5-noble)CEC_0.11.1.tar.gz(r-4.4-noble)
CEC_0.11.1.tgz(r-4.4-emscripten)CEC_0.11.1.tgz(r-4.3-emscripten)
CEC.pdf |CEC.html✨
CEC/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/swarm-lab/cec/issues

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

On CRAN:

clusteringcross-entropy

3 exports 10 stars 1.83 score 0 dependencies 1 mentions 18 scripts 511 downloads

Last updated 8 months agofrom:c172136586. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-win-x86_64OKSep 04 2024
R-4.5-linux-x86_64OKSep 04 2024
R-4.4-win-x86_64OKSep 04 2024
R-4.4-mac-x86_64OKSep 04 2024
R-4.4-mac-aarch64OKSep 04 2024
R-4.3-win-x86_64OKSep 04 2024
R-4.3-mac-x86_64OKSep 04 2024
R-4.3-mac-aarch64OKSep 04 2024

Exports:cecinit.centersmouseset

Dependencies: