Keyphrases
- dimensionality reduction
- diffusion maps
- high dimensional data
- low dimensional
- diffusion process
- high dimensional
- anisotropic diffusion
- principal component analysis
- pattern recognition
- feature extraction
- data representation
- pattern recognition and machine learning
- random projections
- input space
- structure preserving
- high dimensionality
- principal components
- diffusion processes
- manifold learning
- feature space
- euclidean distance
- feature selection
- nonlinear dimensionality reduction
- linear discriminant analysis
- data points
- machine learning
- dimensionality reduction methods
- graph embedding
- neural network
- kernel pca
- information diffusion
- diffusion equation
- metric learning
- shape analysis
- sparse representation
- face recognition
- linear dimensionality reduction
- linear projection
- data sets