Intro to Business Analytics
Non-negative matrix factorization (NMF) is a mathematical technique used to decompose a non-negative matrix into two lower-dimensional non-negative matrices, typically referred to as basis and coefficient matrices. This method helps in revealing latent structures in data, making it particularly useful for tasks such as dimensionality reduction and feature extraction in various applications, including image processing and text analytics.
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