Umap, Machine Learning, AI, Dimensionality Reduction.
— Additive Matrices: NMF’s key distinction lies in its non-negativity constraint, which makes it particularly useful for datasets where negative values or interpretability concerns are prevalent. While PCA generates orthogonal components that may not be directly interpretable, NMF extracts additive