Package: CEC 0.12.0

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, cph], Spurek Przemyslaw [ctb], Simon Garnier [cre, ctb, cph]

CEC_0.12.0.tar.gz
CEC_0.12.0.zip(r-4.7-x86_64)CEC_0.12.0.zip(r-4.7-arm64)CEC_0.12.0.zip(r-4.6-x86_64)CEC_0.12.0.zip(r-4.6-arm64)
CEC_0.12.0.tar.gz(r-4.7-arm64)CEC_0.12.0.tar.gz(r-4.7-x86_64)CEC_0.12.0.tar.gz(r-4.6-arm64)CEC_0.12.0.tar.gz(r-4.6-x86_64)
CEC_0.12.0.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://cran.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:

openblascpp

2.30 score 1 stars 20 scripts 190 downloads 1 mentions 3 exports 0 dependencies

Last updated from:cea0622577. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK96
linux-devel-x86_64OK113
source / vignettesOK194
linux-release-arm64OK127
linux-release-x86_64OK97
windows-devel-arm64OK222
windows-devel-x86_64OK135
windows-release-arm64OK215
windows-release-x86_64OK99
wasm-releaseOK102

Exports:cecinit.centersmouseset

Dependencies: