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-arm64)CEC_0.11.3.tgz(r-4.6-x86_64)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✨
DESCRIPTION |NEWS
card.svg |card.png
CEC/json (API)

# 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 337 downloads 1 mentions 3 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK127
linux-devel-x86_64OK125
source / vignettesOK149
linux-release-arm64OK1123
linux-release-x86_64OK690
macos-release-arm64OK140
macos-release-x86_64OK213
macos-oldrel-arm64OK175
macos-oldrel-x86_64OK357
windows-develOK130
windows-releaseOK87
windows-oldrelOK106
wasm-releaseOK93

Exports:cecinit.centersmouseset

Dependencies: