Keyphrases
- singular value decomposition
- dimensionality reduction
- principal component analysis
- low dimensional
- high dimensional
- high dimensional data
- null space
- feature space
- subspace learning
- least squares
- qr decomposition
- feature extraction
- singular vectors
- subspace clustering
- singular values
- lower dimensional
- linear projection
- dimension reduction
- clustering high dimensional data
- reconstruction error
- linear subspace
- database
- kernel based nonlinear
- subspace methods
- principal components analysis
- latent semantic analysis
- covariance matrix
- similarity measure
- image processing
- neural network