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arXiv · 1508.04559

Introduction to Cross-Entropy Clustering The R Package CEC

Jacek Tabor·Przemysław Spurek·Konrad Kamieniecki·Marek Śmieja·Krzysztof Misztal
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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 $k$-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.

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Jacek Tabor, Przemysław Spurek, Konrad Kamieniecki, Marek Śmieja, Krzysztof Misztal. 2015-08-19. Introduction to Cross-Entropy Clustering The R Package CEC. https://arxiv.org/abs/1508.04559

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