Keyphrases
- locally linear embedding
- dimensionality reduction
- manifold learning
- low dimensional
- high dimensional
- high dimensional data
- nonlinear dimensionality reduction
- dimensional data
- laplacian eigenmaps
- principal components analysis
- orthogonal projection
- principal component analysis
- triangular mesh
- data sets
- euclidean distance
- data points
- dimensionality reduction methods
- data mining
- nearest neighbor
- semi supervised
- sparse representation
- linear discriminant analysis
- feature space
- pattern recognition
- kernel pca
- feature extraction
- machine learning