Deep Nonparametric Clustering
1 papers with code • 0 benchmarks • 0 datasets
Clustering using deep learning models, when the number of clusters is unknown and needs to be inferred.
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Using a split/merge framework, a dynamic architecture that adapts to the changing K, and a novel loss, our proposed method outperforms existing nonparametric methods (both classical and deep ones).