Regularization Versus Dimension Reduction, Which Is Better?
Yunfei JiangPing GuoPublished in: ISNN (2) (2007)
Keyphrases
- dimension reduction
- manifold regularization
- principal component analysis
- feature extraction
- high dimensional
- low dimensional
- high dimensional problems
- high dimensional data
- feature space
- data mining and machine learning
- random projections
- singular value decomposition
- discriminative information
- cluster analysis
- partial least squares
- linear discriminant analysis
- manifold learning
- feature selection
- variable selection
- high dimensional data analysis
- manifold embedding
- high dimensionality
- unsupervised learning
- dimension reduction methods
- data mining