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GitHub / alejandrods / Analysis-of-the-robustness-of-NMF-algorithms

Analysis of the robustness of non-negative matrix factorization (NMF) techniques: L2-norm, L1-norm, and L2,1-norm

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/alejandrods%2FAnalysis-of-the-robustness-of-NMF-algorithms

Stars: 6
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 3.59 MB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: over 2 years ago
Pushed at: almost 4 years ago
Last synced at: about 2 years ago

Topics: data-science, deep-learning, factorization, image-classification, l1-norm, l2-norm, l2-regularization, l21-norm, machine-learning, matrix-factorization, nlp, nmf, noise, non-negative-matrix-factorization, python, robustness

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