Keyphrases
- subspace clustering
- low rank
- high dimensional data
- ell norm
- trace norm
- nearest neighbor
- dimensionality reduction
- matrix completion
- high dimensional
- subspace clusters
- low dimensional
- affinity matrix
- data sets
- high order
- low rank matrix
- sparse coding
- high dimensionality
- original data
- linear combination
- sparse representation
- rank minimization
- data points
- convex optimization
- clustering method
- data analysis
- missing data
- semi supervised
- matrix factorization
- singular value decomposition
- text data
- least squares
- norm minimization
- image processing
- feature selection
- input data
- higher order
- small number
- machine learning