Author

Ouiem Bchir

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Open access Sep 2026

Beyond Pseudo-Labels: Dual-Level Knowledge Distillation for Enhanced Deep Clustering

This study introduces a novel clustering approach, namely Teacher–Student-based Deep Clustering (TSDC), that relies on intra- and inter-distillation-based feature representations. In fact, TSDC distils knowledge from (i) high- to low-response channels, forcing the latter to mimic the former, and (ii) deeper to shallowe...

Rehab Alnefaie, M. B. Ben Ismail, Ouiem Bchir · Algorithms · 0 citations

Open access Aug 2026

Weighted Deep Embedded Clustering for Robust Representation Learning in Noisy Data

A Reliability-Based Deep Embedded Clustering (RDEC) approach that improves clustering reliability through a novel distance-aware weighting strategy, coupled with a novel Kullback–Leibler divergence objective function to focus on the most representative data instances and guide the clustering process.

Meaad Altwaimi, M. B. Ben Ismail, Ouiem Bchir · Algorithms · 0 citations