%0 Journal Article
%T Uniform Cross-entropy Clustering
%A Brzeski, Maciej
%A Spurek, Przemysław
%J Schedae Informaticae
%V 2016
%R 10.4467/20838476SI.16.009.6190
%N Volume 25
%P 117-126
%K Clustering, Cross-entropy, Uniform distribution
%@ 1732-3916
%D 2017
%U https://ejournals.eu/en/journal/schedae-informaticae/article/uniform-cross-entropy-clustering
%X Robust mixture models approaches, which use non-normal distributions have recently been upgraded to accommodate data with fixed bounds. In this article we propose a new method based on uniform distributions and Cross-Entropy Clustering (CEC). We combine a simple density model with a clustering method which allows to treat groups separately and estimate parameters in each cluster individually. Consequently, we introduce an effective clustering algorithm which deals with non-normal data.