Union of Low-Rank Tensor Spaces: Clustering and Completion.
Morteza AshraphijuoXiaodong WangPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- low rank
- trace norm
- high order
- high dimensional data
- frobenius norm
- tensor decomposition
- linear combination
- matrix factorization
- convex optimization
- singular value decomposition
- missing data
- dimensionality reduction
- clustering algorithm
- clustering method
- data points
- higher order
- low rank matrices
- matrix completion
- low rank matrix
- kernel matrix
- unsupervised learning
- rank minimization
- semi supervised
- matrix decomposition
- k means
- nonnegative matrix factorization
- nearest neighbor
- tensor factorization
- minimization problems
- robust principal component analysis
- norm minimization
- singular values
- spectral clustering
- data clustering
- low rank approximation
- feature space
- riemannian manifolds
- data representation
- image processing