Aggregate Inverse Mean Estimation for Sufficient Dimension Reduction.
Qin WangXiangrong YinPublished in: Technometrics (2021)
Keyphrases
- dimension reduction
- feature extraction
- principal component analysis
- random projections
- high dimensional problems
- high dimensional data
- partial least squares
- data mining and machine learning
- low dimensional
- variable selection
- high dimensional
- singular value decomposition
- feature selection
- cluster analysis
- high dimensionality
- feature space
- manifold learning
- linear discriminant analysis
- discriminative information
- high dimensional data analysis
- dimensionality reduction
- nearest neighbor
- reinforcement learning
- data sets
- discriminant analysis
- image data
- preprocessing
- object recognition
- real world
- intrinsic dimension
- manifold embedding
- dimension reduction methods