Robust sparse nonnegative matrix factorization based on maximum correntropy criterion.
Siyuan PengWee SerZhiping LinBadong ChenPublished in: ISCAS (2018)
Keyphrases
- nonnegative matrix factorization
- sparsity constraints
- nonnegative matrix
- probabilistic latent semantic indexing
- negative matrix factorization
- high dimensional
- matrix factorization
- least squares
- principal component analysis
- data representation
- spectral clustering
- sparse representation
- original data
- feature selection
- computer vision
- information retrieval
- high dimensional data
- pattern recognition
- objective function