Package: CEC 0.11.3

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_0.11.3.tar.gz
CEC_0.11.3.zip(r-4.7)CEC_0.11.3.zip(r-4.6)CEC_0.11.3.zip(r-4.5)
CEC_0.11.3.tgz(r-4.6-x86_64)CEC_0.11.3.tgz(r-4.6-arm64)CEC_0.11.3.tgz(r-4.5-x86_64)CEC_0.11.3.tgz(r-4.5-arm64)
CEC_0.11.3.tar.gz(r-4.7-arm64)CEC_0.11.3.tar.gz(r-4.7-x86_64)CEC_0.11.3.tar.gz(r-4.6-arm64)CEC_0.11.3.tar.gz(r-4.6-x86_64)
CEC_0.11.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CEC/json (API)
NEWS

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

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

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

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

On CRAN:

Conda:

clusteringcross-entropyopenblascpp

4.23 score 9 stars 19 scripts 378 downloads 1 mentions 3 exports 0 dependencies

Last updated from:bae1bab863. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK111
linux-devel-x86_64OK139
source / vignettesOK213
linux-release-arm64OK126
linux-release-x86_64OK113
macos-release-arm64OK111
macos-release-x86_64OK207
macos-oldrel-arm64OK130
macos-oldrel-x86_64OK242
windows-develOK144
windows-releaseOK99
windows-oldrelOK128
wasm-releaseOK95

Exports:cecinit.centersmouseset

Dependencies: