Keyphrases
- upper bound
- lower bound
- low dimensional
- subspace clustering
- branch and bound algorithm
- error correction
- subspace learning
- branch and bound
- lower and upper bounds
- principal component analysis
- clustering high dimensional data
- worst case
- high dimensional
- data broadcasting
- feature space
- generalization error
- lower dimensional
- kernel based nonlinear
- high dimensional data
- dimensionality reduction
- feature extraction
- data dissemination
- subspace methods
- principal components
- single item
- linear subspace
- hilbert space
- error control
- digital television
- search algorithm
- feature selection
- higher order singular value decomposition