Dimensionality reduction based on multi-local linear regression and global subspace projection distance minimum.
Haidong HuangZhengming MaGuokai ZhangHuibin WuPublished in: Pattern Anal. Appl. (2021)
Keyphrases
- subspace projection
- dimensionality reduction
- discriminant analysis
- principal component analysis
- linear discriminant analysis
- low dimensional
- feature space
- feature extraction
- principal components
- high dimensional data
- pattern recognition
- face recognition
- subspace clusters
- distance measure
- high dimensional
- dimension reduction
- neural network
- support vector
- high dimensionality
- data structure
- input space
- random projections
- lower dimensional
- component analysis
- hyperspectral imagery