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

CEC_0.11.2.tar.gz
CEC_0.11.2.zip(r-4.5)CEC_0.11.2.zip(r-4.4)CEC_0.11.2.zip(r-4.3)
CEC_0.11.2.tgz(r-4.4-x86_64)CEC_0.11.2.tgz(r-4.4-arm64)CEC_0.11.2.tgz(r-4.3-x86_64)CEC_0.11.2.tgz(r-4.3-arm64)
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://swarm-lab.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Pkgdown site:https://swarm-lab.github.io

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

On CRAN:

clusteringcross-entropyopenblascpp

4.56 score 10 stars 18 scripts 399 downloads 1 mentions 3 exports 0 dependencies

Last updated 4 months agofrom:99f0d2f83f. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 08 2025
R-4.5-win-x86_64OKJan 08 2025
R-4.5-linux-x86_64OKJan 08 2025
R-4.4-win-x86_64OKJan 08 2025
R-4.4-mac-x86_64OKJan 08 2025
R-4.4-mac-aarch64OKJan 08 2025
R-4.3-win-x86_64OKJan 08 2025
R-4.3-mac-x86_64OKJan 08 2025
R-4.3-mac-aarch64OKJan 08 2025

Exports:cecinit.centersmouseset

Dependencies: