most citedDeep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering

10 citations · 10 across the 1 of their papers we have counts for

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1 paper

cs.LG2017★ 10 cited

Deep Approximately Orthogonal Nonnegative Matrix Factorization for Clustering

Yuning Qiu, Guoxu Zhou, Kan Xie

Nonnegative Matrix Factorization (NMF) is a widely used technique for data representation. Inspired by the expressive power of deep learning, several NMF variants equipped with dee…