Keyphrases
- subspace learning
- principal component analysis
- linear subspace
- approximation algorithms
- dimensionality reduction
- error bounds
- clustering high dimensional data
- subspace clustering
- feature space
- low dimensional
- high dimensional data
- real time
- approximation methods
- subspace clusters
- queueing networks
- machine learning
- special case
- support vector
- feature extraction
- information systems
- computer vision
- eigendecomposition
- approximation ratio
- subspace analysis