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.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://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

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

2.26 score 1 stars 18 scripts 588 downloads 1 mentions 3 exports 0 dependencies

Last updated 2 months agofrom:82a4dcc148. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-linux-x86_64OKNov 10 2024

Exports:cecinit.centersmouseset

Dependencies: