TY - JOUR
TI - Uniform Cross-entropy Clustering
AU - Brzeski, Maciej
AU - Spurek, Przemysław
TI - Uniform Cross-entropy Clustering
AB - 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.
VL - 2016
IS - Volume 25
PY - 2017
SN - 1732-3916
C1 - 2083-8476
SP - 117
EP - 126
DO - 10.4467/20838476SI.16.009.6190
UR - https://ejournals.eu/en/journal/schedae-informaticae/article/uniform-cross-entropy-clustering
KW - Clustering
KW - Cross-entropy
KW - Uniform distribution