Keyphrases
- low rank representation
- outlier detection
- principal component analysis
- high dimensional data
- data points
- dimensionality reduction
- missing data
- approximation error
- subspace learning
- approximation algorithms
- closed form
- data sets
- high dimensional
- low dimensional
- lower dimensional
- approximation methods
- neural network
- special case
- feature space
- subspace clustering
- novelty detection
- feature extraction
- linear subspace
- data mining
- eigendecomposition