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Ensemble clustering, also known as consensus clustering, aims to generate a stable and robust clustering through the consolidation of multiple base clusterings. In recent years many ensemble clustering methods have been proposed, most of which treat each clustering and each object as equally important. Some approaches make use of weights associated with clusters, or with clusterings, when assembling...
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