Normalized dimensionality reduction using nonnegative matrix factorization.
Zhenfeng ZhuYue-Fei GuoXingquan ZhuXiangyang XuePublished in: Neurocomputing (2010)
Keyphrases
- nonnegative matrix factorization
- dimensionality reduction
- data representation
- principal component analysis
- probabilistic latent semantic indexing
- negative matrix factorization
- pattern recognition
- high dimensional data
- matrix factorization
- high dimensional
- active set
- low dimensional
- spectral clustering
- least squares
- data matrix
- feature selection
- feature extraction
- nonnegative matrix
- singular value decomposition
- face recognition
- original data
- unsupervised learning
- feature space
- sparse representation
- data points
- sparsity constraints
- similarity measure
- low rank