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Non-negative matrix factorization (NMF) is useful to find basis information of non-negative data. Currently, the multiplicative updates proposed by Lee and Seung are simple and popular way to find the factorization. However, this multiplicative approach of minimizing the Euclidean distance between approximate and true values is inefficient. In this paper, firstly, the original data set were partitioned...
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