On Principal Angles between Subspaces of Euclidean Space.
Zlatko DrmacPublished in: SIAM J. Matrix Anal. Appl. (2000)
Keyphrases
- euclidean space
- low dimensional
- data points
- hilbert space
- high dimensional data
- high dimensional
- shape analysis
- principal component analysis
- metric space
- riemannian manifolds
- linear subspace
- quadratic form
- euclidean distance
- vector space
- dimensionality reduction
- geodesic distance
- feature space
- pairwise distances
- dimensional euclidean space
- finite dimensional
- constant curvature
- multidimensional scaling
- discrete space
- manifold learning
- lie group
- geometrical structure
- multi dimensional scaling
- dissimilarity matrix
- data sets
- graph laplacian
- nearest neighbor
- pattern recognition
- three dimensional