Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- high dimensional data
- principal component analysis
- dimension reduction
- feature space
- data points
- vector space
- manifold learning
- high dimensional data space
- polyhedral objects
- nonlinear dimensionality reduction
- input space
- euclidean space
- linear subspace
- three dimensional
- discrete tomography
- multidimensional scaling
- iterative algorithms
- nearest neighbor
- locally linear embedding
- pairwise
- machine learning