Keyphrases
- low dimensional
- high dimensional
- principal component analysis
- subspace clustering
- subspace learning
- linear subspace
- clustering high dimensional data
- feature space
- dimensionality reduction
- high dimensional data
- image set
- lower dimensional
- hilbert space
- canonical correlations
- principal components
- kernel based nonlinear
- grassmann manifold
- database
- real world