University of Negev Researchers Develop DeepDPM: A Deep Clustering Algorithm With An Unknown Number Of Clusters

Clustering is an essential unsupervised learning job in which class labels are not accessible, unlike in the supervised situation of classification. Furthermore, the number of classes represented by K and their relative sizes are unknown in the totally unsupervised environment on which this research focuses.

Clustering tasks have not been overlooked by Deep Learning (DL). Large and high-dimensional datasets are typically clustered better and more efficiently by DL approaches than by traditional clustering methods. However, while nonparametric approaches have advantages …

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