Keyphrases
- multidimensional scaling
- kernel pca
- fisher information
- euclidean distance
- low dimensional
- geodesic distance
- kernel methods
- kernel function
- latent structure
- principal component analysis
- feature space
- dimensionality reduction
- pairwise distances
- cluster analysis
- vector space
- metric learning
- metric space
- input space
- distance measure
- kernel matrix
- latent semantic indexing
- distance metric
- component analysis
- euclidean space
- spectral clustering
- dimension reduction
- manifold learning
- high dimensional
- pattern recognition
- support vector
- face recognition
- learning tasks
- language model
- image processing
- computer vision