  The R Package CEC performs clustering based on the cross-entropy clustering
(CEC) method, which was recently developed with the use of information theory.
The main advantage of CEC is that it combines the speed and simplicity of
$k$-means with the ability to use various Gaussian mixture models and reduce
unnecessary clusters. In this work we present a practical tutorial to CEC based
on the R Package CEC. Functions are provided to encompass the whole process of
clustering.
