A neurodynamics-based nonnegative matrix factorization approach based on discrete-time projection neural network.
Nian ZhangKeenan LeathamPublished in: J. Ambient Intell. Humaniz. Comput. (2023)
Keyphrases
- nonnegative matrix factorization
- neural network
- probabilistic latent semantic indexing
- matrix factorization
- negative matrix factorization
- data representation
- nonnegative matrix
- least squares
- active set
- spectral clustering
- principal component analysis
- factor matrices
- pattern recognition
- original data
- sparsity constraints
- document clustering
- objective function
- collaborative filtering
- image processing
- feature selection