New R package 'nnmf' offers performance comparison for non-negative matrix factorization

A new R package named nnmf has been developed for non-negative matrix factorization (NMF), a technique used for dimensionality reduction across various fields like bioinformatics, text mining, and image analysis. This study introduces the package and provides a performance comparison with two existing R packages for NMF. The evaluation uses real-world data to assess computational efficiency, convergence, accuracy, and stability, aiming to offer researchers objective guidance for selecting appropriate NMF tools. AI

IMPACT Provides a new tool and comparative analysis for NMF, potentially improving research efficiency in fields like text mining and recommender systems.

RANK_REASON The item is an academic paper detailing a new software package and its comparative analysis. [lever_c_demoted from research: ic=1 ai=0.7]

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• arXiv
• bioinformatics
• image analysis
• nnmf
• non-negative matrix factorization
• R
• Recommender Systems
• text mining

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