Dimensionality reduction by LPP-L21.
Shujian WangDe-Yan XieFang ChenQuanxue GaoPublished in: IET Comput. Vis. (2018)
Keyphrases
- dimensionality reduction
- locality preserving projections
- principal component analysis
- pattern recognition
- high dimensional data
- data representation
- low dimensional
- high dimensional
- dimensionality reduction methods
- subspace learning
- feature selection
- feature extraction
- data points
- singular value decomposition
- manifold learning
- locality preserving
- high dimensionality
- feature space
- euclidean distance
- random projections
- structure preserving
- lower dimensional
- preprocessing step
- linear discriminant analysis
- input space
- linear projection
- locally linear embedding
- principal components
- pattern recognition and machine learning
- manifold structure
- linear dimensionality reduction
- graph embedding
- dimension reduction
- supervised dimensionality reduction
- face recognition
- nonlinear dimensionality reduction
- natural images
- kernel pca
- machine learning