Nonnegative Matrix Factorization with Rank Regularization and Hard Constraint.
Ronghua ShangChiyang LiuYang MengLicheng JiaoRustam StolkinPublished in: Neural Comput. (2017)
Keyphrases
- nonnegative matrix factorization
- sparsity constraints
- negative matrix factorization
- probabilistic latent semantic indexing
- low rank approximation
- matrix factorization
- data representation
- least squares
- nonnegative matrix
- document clustering
- principal component analysis
- spectral clustering
- data mining
- objective function
- low rank
- original data
- sparse representation
- digital libraries
- image processing
- machine learning
- data sets