Discriminative and Orthogonal Subspace Constraints-Based Nonnegative Matrix Factorization.
Xuelong LiGuosheng CuiYongsheng DongPublished in: ACM Trans. Intell. Syst. Technol. (2018)
Keyphrases
- nonnegative matrix factorization
- principal component analysis
- negative matrix factorization
- matrix factorization
- probabilistic latent semantic indexing
- data representation
- feature extraction
- feature selection
- nonnegative matrix
- spectral clustering
- low dimensional
- semi supervised
- high dimensional data
- document clustering
- original data
- least squares
- high dimensional
- dimensionality reduction
- image retrieval
- image segmentation
- subspace learning
- data matrix
- image processing
- data sets