206 citations · 315 across the 22 of their papers we have counts for
Showing 2021 · cs.LGShow all
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cs.LG2021★ 4 cited
Deep Fair Discriminative Clustering
Hongjing Zhang, Ian Davidson
Deep clustering has the potential to learn a strong representation and hence better clustering performance compared to traditional clustering methods such as -means and spectral…
cs.LG2021
Deep Descriptive Clustering
Hongjing Zhang, Ian Davidson
Recent work on explainable clustering allows describing clusters when the features are interpretable. However, much modern machine learning focuses on complex data such as images,…
cs.LG2021★ 1 cited
A Framework for Deep Constrained Clustering
Hongjing Zhang, Tianyang Zhan, Sugato Basu +1
The area of constrained clustering has been extensively explored by researchers and used by practitioners. Constrained clustering formulations exist for popular algorithms such as…