Introduction to Cross-Entropy Clustering The R Package CEC

08/19/2015
by   Jacek Tabor, et al.
0

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.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset