Inverse Problems
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 the basis and coefficient matrices. This method is particularly useful in applications like source separation, where the goal is to extract distinct components from a mixed dataset while preserving the non-negativity constraint.
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