Keyphrases
- low dimensional
- high dimensional
- manifold learning
- dimensionality reduction
- euclidean space
- high dimensional data
- principal component analysis
- vector space
- data points
- feature representation
- feature space
- dimension reduction
- linear subspace
- input space
- lower dimensional
- subspace learning
- finite dimensional
- nonlinear dimensionality reduction
- latent space
- graph embedding
- low dimensional spaces
- pattern recognition
- discriminant analysis
- distance metric
- class labels
- similarity search
- multidimensional scaling
- feature extraction
- decision trees
- feature selection
- computer vision
- low dimensionality
- data sets