@article{0891622b-c899-4c67-90ce-a254d96962d8,
author = {Maciej Brzeski, Przemysław Spurek},
title = {Uniform Cross-entropy Clustering},
journal = {Schedae Informaticae},
volume = {2016},
number = {Volume 25},
year = {2017},
issn = {1732-3916},
pages = {117-126},keywords = {Clustering; Cross-entropy; Uniform distribution},
abstract = {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.},
doi = {10.4467/20838476SI.16.009.6190},
url = {https://ejournals.eu/en/journal/schedae-informaticae/article/uniform-cross-entropy-clustering}
}