Keyphrases
- low dimensional
- subspace learning
- high dimensional
- feature space
- linear subspace
- principal component analysis
- dimensionality reduction
- error correction
- kernel based nonlinear
- subspace clustering
- principal components
- error correcting codes
- clustering high dimensional data
- lower dimensional
- high dimensional data
- subspace methods
- image space
- nearest neighbor
- support vector machine