Preprint
Jul 2026
Ensemble of Unsupervised Deep Learning for Clustering Imbalanced Tabular Data
Two novel cluster ensemble approaches are introduced: one aggregates deep clustering assignments across different embedding dimensions, and the other applies majority voting to the best-performing clustering algorithms.
Pulock Das, Yina Hou, Md. Kamrozzaman Bhuiyan et al.
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