A Nonlinear Approach to Dimension Reduction
Lee-Ad GottliebRobert KrauthgamerPublished in: CoRR (2009)
Keyphrases
- dimension reduction
- manifold embedding
- principal component analysis
- feature extraction
- high dimensional
- variable selection
- high dimensional data
- low dimensional
- high dimensional problems
- nonlinear manifold
- dimensionality reduction
- singular value decomposition
- linear discriminant analysis
- manifold learning
- feature space
- data mining and machine learning
- cluster analysis
- feature selection
- high dimensionality
- random projections
- partial least squares
- high dimensional data analysis
- discriminative information
- dimension reduction methods
- unsupervised learning
- kernel pca
- computer vision
- high dimensional feature space
- data mining techniques
- active learning
- preprocessing
- data sets