PC-X is a well-structured framework for deep clustering with superior potential in terms of interpretability and efficiency,. It introduces novel components, like the skip-connection module and a unique optimization algorithm, and offers strong theoretical foundations.
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@inproceedings{
pan2023pcx,
title={{PC}-X: Profound Clustering via Slow Exemplars},
author={Yuangang Pan and Yinghua Yao and Ivor Tsang},
booktitle={Conference on Parsimony and Learning (Proceedings Track)},
year={2023},
url={https://openreview.net/forum?id=yhGKPtRoOx}
}