The `sklearn.decomposition.NMF` module in Python is a part of the scikit-learn library and is used for Non-negative Matrix Factorization (NMF). NMF is a matrix factorization technique that decomposes a non-negative matrix into the product of two non-negative matrices. This technique is particularly useful for feature extraction and visualization purposes. NMF can be applied to data sets such as images, audio, and text, and can help in identifying underlying patterns and relationships in the data. The `sklearn.decomposition.NMF` module provides various functionalities for performing NMF, including specifying the number of components, choosing the solver algorithm, and transforming and reconstructing the data.
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