Coordinate descent-based sparse nonnegative matrix factorization for robust cancer-class discovery and microarray data analysis

DOI10.1155/2021/6675829zbMath1499.62207OpenAlexW3205933207WikidataQ114069908 ScholiaQ114069908MaRDI QIDQ2064267

Melisew Tefera Belachew

Publication date: 5 January 2022

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2021/6675829

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Factorization of matrices (15A23) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Orthogonal joint sparse NMF for microarray data analysis
• Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization
• Learning the parts of objects by non-negative matrix factorization

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