Keyphrases
- low rank
- trace norm
- high order
- high dimensional data
- frobenius norm
- tensor decomposition
- matrix factorization
- missing data
- convex optimization
- linear combination
- low rank matrix
- matrix completion
- singular value decomposition
- clustering algorithm
- rank minimization
- clustering method
- semi supervised
- low rank matrices
- tensor factorization
- dimensionality reduction
- higher order
- kernel matrix
- k means
- data clustering
- data points
- matrix decomposition
- nonnegative matrix factorization
- singular values
- small number
- minimization problems
- regularized regression
- data sets
- affinity matrix
- document clustering
- high dimensional
- pairwise
- machine learning