Progressive transduction nonnegative matrix factorization for dimensionality reduction.
Xinjun PengDong XuDe ChenPublished in: Neurocomputing (2020)
Keyphrases
- nonnegative matrix factorization
- dimensionality reduction
- data representation
- principal component analysis
- probabilistic latent semantic indexing
- negative matrix factorization
- high dimensional data
- high dimensional
- matrix factorization
- low dimensional
- nonnegative matrix
- feature extraction
- feature space
- unsupervised learning
- least squares
- spectral clustering
- data points
- data matrix
- semi supervised learning
- pattern recognition
- sparsity constraints
- feature selection
- singular value decomposition
- original data
- unsupervised feature selection
- face recognition
- information retrieval
- data analysis
- objective function