Uniform Cross-entropy Clustering

Maciej Brzeski,

Przemysław Spurek

Abstrakt
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.
Słowa kluczowe: Clustering, Cross-entropy, Uniform distribution
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