Nonnegative Matrix Factorization in Dimensionality Reduction: A Survey.
Farid Saberi-MovahedKamal BerahmandRazieh SheikhpourYuefeng LiShirui PanPublished in: CoRR (2024)
Keyphrases
- nonnegative matrix factorization
- dimensionality reduction
- data representation
- principal component analysis
- probabilistic latent semantic indexing
- negative matrix factorization
- high dimensional
- active set
- low dimensional
- high dimensionality
- high dimensional data
- least squares
- feature extraction
- pattern recognition
- matrix factorization
- feature space
- unsupervised learning
- spectral clustering
- original data
- feature selection
- singular value decomposition
- objective function
- data matrix
- nonnegative matrix
- information retrieval systems
- data points
- multiscale
- kernel learning
- machine learning
- data analysis
- image sequences