Double Manifolds Regularized Non-negative Matrix Factorization for Data Representation.
Jipeng GuoShuai YinYanfeng SunYongli HuPublished in: ICPR (2020)
Keyphrases
- data representation
- negative matrix factorization
- sparsity constraints
- nonnegative matrix factorization
- sparse representation
- dimensionality reduction
- manifold learning
- principal component analysis
- matrix factorization
- document clustering
- tensor factorization
- low dimensional
- regularized least squares
- xml documents
- high dimensional data
- high dimensional
- data mining
- feature space
- spectral clustering
- sparse coding
- databases
- similarity measure
- subspace learning
- document collections
- signal processing