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News/Nonnegative Matrix Factorization in the Component-Wise L1 Norm for Sparse Data
arxiv
PublishedSeptember 21, 2026 at 4:00 AM

Nonnegative Matrix Factorization in the Component-Wise L1 Norm for Sparse Data

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arXiv:2603.29715v2 Announce Type: replace Abstract: Nonnegative matrix factorization (NMF) approximates a nonnegative matrix, X, by the product of two nonnegative factors, WH, where W has r columns and H has r rows. In this paper, we consider NMF using the component-wise L1 norm as the error measure

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