Keyphrases
- low dimensional
- high dimensional
- manifold learning
- dimensionality reduction
- high dimensional data
- approximation algorithms
- vector space
- data points
- euclidean space
- principal component analysis
- feature space
- dimension reduction
- linear programming
- mixed integer
- low dimensional spaces
- nonlinear dimensionality reduction
- input space
- multidimensional scaling
- graph embedding
- computer vision
- lower dimensional
- linear subspace
- high dimensional spaces
- feasible solution
- linear programming relaxation
- linear program
- special case
- low dimensional manifolds
- data sets