Keyphrases
- low dimensional
- error correction
- feature space
- principal component analysis
- dimensionality reduction
- subspace clustering
- linear subspace
- clustering high dimensional data
- high dimensional
- computer vision
- eigendecomposition
- subspace learning
- principal components
- high dimensional data
- feature extraction
- training set
- principal components analysis
- information systems
- null space
- error correcting
- error control
- neural network
- kernel based nonlinear
- spectral density