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-x86_64)CEC_0.11.3.zip(r-4.6-x86_64)CEC_0.11.3.zip(r-4.5-x86_64)
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✨
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 416 downloads 1 mentions 3 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK126
linux-devel-x86_64OK125
source / vignettesOK135
linux-release-arm64OK146
linux-release-x86_64OK116
macos-release-arm64OK112
macos-release-x86_64OK289
macos-oldrel-arm64OK154
macos-oldrel-x86_64OK164
windows-develOK96
windows-releaseOK100
windows-oldrelOK92
wasm-releaseOK100

Exports:cecinit.centersmouseset

Dependencies: