Nonnegative Matrix Factorization: A Comprehensive Survey on Its Applications in Dimensionality Reduction

Nonnegative Matrix Factorization (NMF) is a powerful technique for dimensionality reduction, offering advantages such as nonnegativity, sparsity, interpretability, and scalability. This survey provides a comprehensive analysis of NMF's applications in both feature extraction and feature selection for dimensionality reduction.