arXiv Machine Learning July 23, 2026 By Volkan Sevin\c{c}, Nikolas Kontemeniotis, Theodoros Perdikis, Michail Tsagris

Non--negative matrix factorization using the \textit{R} package \textsf{nnmf}

Read the original on arXiv Machine Learning →

arXiv:2607. 20084v1 Announce Type: cross Abstract: Non--negative matrix factorization (NMF) has become an established dimensionality reduction technique for extracting latent structures from non--negative data and has found widespread applications in fields such as bioinformatics, text mining, image analysis, and recommender systems.

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