Robust Weighted Low-Rank Tensor Approximation for Multiview Clustering With Mixed Noise.
Xinyu PuHangjun CheBaicheng PanMan-Fai LeungShiping WenPublished in: IEEE Trans. Comput. Soc. Syst. (2024)
Keyphrases
- low rank
- missing data
- rank minimization
- low rank matrix
- frobenius norm
- trace norm
- high order
- low rank representation
- high dimensional data
- matrix decomposition
- low rank subspace
- tensor decomposition
- matrix completion
- matrix factorization
- robust principal component analysis
- convex optimization
- approximation methods
- singular value decomposition
- linear combination
- nonnegative matrix factorization
- semi supervised
- low rank approximation
- missing values
- norm minimization
- kernel matrix
- tensor factorization
- clustering algorithm
- multi view
- data clustering
- affinity matrix
- singular values
- document clustering
- clustering method
- higher order
- pairwise