Sparse sufficient dimension reduction using optimal scoring.
Tao WangLixing ZhuPublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- dimension reduction
- high dimensional
- random projections
- sparse metric learning
- principal component analysis
- high dimensional problems
- feature extraction
- data mining and machine learning
- variable selection
- low dimensional
- manifold learning
- linear discriminant analysis
- high dimensionality
- singular value decomposition
- high dimensional data analysis
- partial least squares
- high dimensional data
- dimensionality reduction
- feature space
- feature selection
- data mining
- discriminative information
- cluster analysis
- neural network
- unsupervised learning
- probabilistic model
- association rules
- image sequences
- manifold embedding