Keyphrases
- low rank representation
- subspace clustering
- missing data
- approximation algorithms
- error bounds
- outlier detection
- relative error
- closed form
- eigendecomposition
- low dimensional
- missing values
- dimensionality reduction
- data mining
- approximation methods
- robust statistics
- clustering high dimensional data
- outlier removal
- approximation error
- subspace learning
- high dimensional data
- data points
- special case
- feature space
- learning algorithm