Dimension Reduction via Gaussian Ridge Functions.
Pranay SeshadriHenry Shaowu YuchiGeoffrey T. ParksPublished in: SIAM/ASA J. Uncertain. Quantification (2019)
Keyphrases
- dimension reduction
- singular value decomposition
- principal component analysis
- feature extraction
- high dimensional data
- linear discriminant analysis
- feature selection
- high dimensional
- dimensionality reduction
- high dimensional data analysis
- high dimensional problems
- low dimensional
- random projections
- feature space
- partial least squares
- manifold learning
- discriminative information
- variable selection
- cluster analysis
- data mining and machine learning
- unsupervised learning
- manifold embedding
- preprocessing
- neural network
- dimension reduction methods
- sparse metric learning
- maximum likelihood
- knn
- moving objects
- pattern recognition
- real world