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Meaad Altwaimi

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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 · 0 citations

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