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In this paper we present a methodology for document clustering based on non-negative matrix factorization (NMF) and ensemble clustering. Thanks to the ensemble clustering the algorithm is less prone to get into a local minimum caused by the initialization of the NMF. Despite the ensemble clustering, the algorithm keeps the semantic interpretability of the NMF and constructs a coocurrence matrix that...
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