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.
Incoming Links #
Related Medical Scholarly Articles (MedicalScholarlyArticle 0) #
Related Articles (Article 1) #
Suggested Pages #
- 0.516 scikit-learn
- 0.077 2015 통계유전학워크숍
- 0.035 Homologous recombination
- 0.027 PCA
- 0.025 NumPy
- 0.024 scikit-image
- 0.020 Landscape of somatic mutations in 560 breast cancer whole-genome sequences
- 0.019 Homologous recombination deficiency
- 0.016 CDK12 Inhibition Reverses De Novo and Acquired PARP Inhibitor Resistance in BRCA Wild-Type and Mutated Models of Triple-Negative Breast Cancer
- More suggestions...