Keyphrases
- manifold learning
- support vector
- high dimensional data
- locality preserving
- low dimensional
- dimensionality reduction
- clustering algorithm
- high dimensional
- nonlinear dimensionality reduction
- semi supervised
- dimension reduction
- intrinsic manifold
- clustering method
- diffusion maps
- subspace learning
- data points
- manifold structure
- spectral clustering
- unsupervised learning
- feature extraction
- data clustering
- laplacian eigenmaps
- k means
- linear discriminant analysis
- head pose estimation
- nonlinear manifold
- discriminant embedding
- self organizing maps
- high dimensionality
- cluster analysis
- data sets
- sparse representation
- kernel function
- feature space
- machine learning
- kernel methods
- geodesic distance
- multi class classification
- data mining techniques
- nearest neighbor
- pairwise
- manifold embedding
- data mining