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.

Most implemented papers

DeepDPM: Deep Clustering With an Unknown Number of Clusters

bgu-cs-vil/deepdpm CVPR 2022

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).