Global structure-guided neighborhood preserving embedding for dimensionality reduction.
Can GaoYong LiJie ZhouWitold PedryczZhihui LaiJun WanJianglin LuPublished in: Int. J. Mach. Learn. Cybern. (2022)
Keyphrases
- neighborhood preserving embedding
- dimensionality reduction
- global structure
- low dimensional
- high dimensional
- high dimensional data
- principal component analysis
- data points
- locally linear embedding
- subspace learning
- feature extraction
- pattern recognition
- manifold learning
- dimension reduction
- feature space
- locality preserving projections
- linear discriminant analysis
- data representation
- dimensionality reduction methods
- global information
- metric learning
- feature selection
- multiscale
- euclidean space
- endpoints
- geometric structure
- principal components
- wavelet coefficients
- principal components analysis
- tree structure
- image data
- data structure
- manifold structure
- multiresolution