Global and local structure preserving sparse subspace learning: An iterative approach to unsupervised feature selection.
Nan ZhouYangyang XuHong ChengJun FangWitold PedryczPublished in: Pattern Recognit. (2016)
Keyphrases
- structure preserving
- subspace learning
- unsupervised feature selection
- dimensionality reduction
- high dimensional
- sparse representation
- feature selection
- principal component analysis
- data representation
- high dimensional data
- manifold learning
- low dimensional
- sparse coding
- high dimensionality
- data points
- pattern recognition
- feature space
- feature extraction
- linear discriminant analysis
- data clustering
- unsupervised learning
- negative matrix factorization
- reinforcement learning
- active learning
- neural network
- singular value decomposition
- linear combination
- knn