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NMF
Uncover patterns, extract features, identify data relationships in large datasets.
NMF refers to the Non-negative Matrix Factorisation implementation in scikit-learn, demonstrated for tasks such as topic extraction and dimensionality reduction on datasets like text corpora or faces. It is appropriate for data scientists and machine-learning practitioners using scikit-learn for unsupervised learning.
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