Non-negative matrix factorization (NMF, 음수 미포함 행렬 분해), also non-negative matrix approximation is a group of algorithms in Multivariate analysis and Linear algebra where a matrix V is factorized into (usually) two matrices W and H, with the property that all three matrices have no negative elements. (https://en.wikipedia.org/wiki/Non-negative_matrix_factorization)

One of the Matrix decomposition methods.

음수를 포함하지 않은 행렬 V를 음수를 포함하지 않은 행렬 W와 H로 분해하는 알고리즘.

관련정보

• NMF — A visual explainer and Python Implementation 2021-03-18
• 3.비지도 학습 알고리즘 (2-2) NMF(비음수 행렬 분석) 2020-12-10

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