Non-Negative Matrix Factorization (NMF) is a mathematical technique used to decompose a given matrix into two lower-dimensional matrices, whose elements are non-negative. This is particularly useful in various fields such as image processing, text mining, and bioinformatics. The non-negativity constraint makes the results easier to interpret, as it aligns with the way we naturally perceive data.
