Ensemble clustering via dual self-enhancement by alternating denoising and topological consistency propagation
Abstract: Highlights•A novel framework is proposed for ensemble clustering.•Topology theory is introduced into ensemble clustering.•The CA matrix is continuously enhanced by alternating denoising and topological consistency propagation.•Experimental results validate the performance of the proposed approach.•Influence of parameter setting is analyzed.
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