A Nonlinear Orthogonal Non-Negative Matrix Factorization Approach to Subspace Clustering.
Dijana TolicNino Antulov-FantulinIvica KoprivaPublished in: CoRR (2017)
Keyphrases
- negative matrix factorization
- subspace clustering
- high dimensional data
- clustering method
- document clustering
- matrix factorization
- sparse representation
- subspace clusters
- clustering algorithm
- nonnegative matrix factorization
- principal component analysis
- spectral clustering
- high dimensional
- subspace projections
- high dimensionality
- dimensionality reduction
- blind source separation
- document collections
- collaborative filtering
- text mining
- pattern recognition
- feature selection
- search engine
- probabilistic latent semantic analysis
- learning algorithm
- neural network