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CEC  

Cross-Entropy Clustering
View on CRAN: Click here


Download and install CEC package within the R console
Install from CRAN:
install.packages("CEC")

Install from Github:
library("remotes")
install_github("cran/CEC")

Install by package version:
library("remotes")
install_version("CEC", "0.11.3")



Attach the package and use:
library("CEC")
Maintained by
Simon Garnier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-09
Latest Update: 2024-10-10
Description:
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) .
How to cite:
Simon Garnier (2014). CEC: Cross-Entropy Clustering. R package version 0.11.3, https://cran.r-project.org/web/packages/CEC. Accessed 26 Aug. 2026.
Previous versions and publish date:
0.9.1 (2014-10-09 14:30), 0.9.2 (2014-11-15 17:21), 0.9.3 (2015-02-03 06:27), 0.9.4 (2016-04-24 16:40), 0.10.1 (2018-07-09 20:20), 0.10.2 (2018-07-27 00:00), 0.10.3 (2021-09-21 16:10), 0.11.0 (2022-12-13 13:40), 0.11.1 (2024-01-08 21:10), 0.11.2 (2024-10-11 00:10), (2026-07-09 07:59)
Other packages that cited CEC R package
View CEC citation profile
Other R packages that CEC depends, imports, suggests or enhances
Complete documentation for CEC
Functions, R codes and Examples using the CEC R package
Some associated functions: CEC-package . Tset . cec . fourGaussians . init.centers . mixShapes . mouseset . plot.cec . print.cec . threeGaussians . 
Some associated R codes: CEC-package.R . cec.R . cec.params.R . ellipse.R . init.centers.R . model.covariance.R . plot.cec.R . print.cec.R . tests.R . utils.R . zzz.R .  Full CEC package functions and examples
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