Low Dimensional Middle Cubes Are Hamiltonian.
Kunwarjit S. BaggaFrank W. OwensPublished in: Great Lakes Computer Science Conference (1989)
Keyphrases
- low dimensional
- high dimensional
- high dimensional data
- dimensionality reduction
- feature space
- manifold learning
- data points
- principal component analysis
- euclidean space
- data cube
- linear dimensionality reduction
- multidimensional scaling
- vector space
- dimension reduction
- input space
- linear subspace
- nonlinear dimensionality reduction
- graph coloring
- similarity search
- multi dimensional
- subspace learning
- input image
- graph embedding
- feature selection