A nonlinear orthogonal non-negative matrix factorization approach to subspace clustering.
Dijana TolicNino Antulov-FantulinIvica KoprivaPublished in: Pattern Recognit. (2018)
Keyphrases
- negative matrix factorization
- subspace clustering
- high dimensional data
- clustering method
- document clustering
- sparse representation
- subspace clusters
- spectral clustering
- clustering algorithm
- nonnegative matrix factorization
- principal component analysis
- matrix factorization
- high dimensional
- probabilistic latent semantic analysis
- dimensionality reduction
- low dimensional
- nearest neighbor
- blind source separation
- knowledge base
- unsupervised learning
- multi label learning