Introduction to Cross-Entropy Clustering The R Package CEC
Machine Learning
2015-08-20 v1 Methodology
Machine Learning
Abstract
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 -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.
Keywords
Cite
@article{arxiv.1508.04559,
title = {Introduction to Cross-Entropy Clustering The R Package CEC},
author = {Jacek Tabor and Przemysław Spurek and Konrad Kamieniecki and Marek Śmieja and Krzysztof Misztal},
journal= {arXiv preprint arXiv:1508.04559},
year = {2015}
}