IMC-NLT: Incomplete multi-view clustering by NMF and low-rank tensor.
Zhenjiao LiuZhikui ChenYue LiLiang ZhaoTao YangReza FarahbakhshNoël CrespiXiaodi HuangPublished in: Expert Syst. Appl. (2023)
Keyphrases
- low rank
- frobenius norm
- multi view clustering
- missing data
- matrix factorization
- multi view
- negative matrix factorization
- matrix completion
- linear combination
- trace norm
- convex optimization
- low rank matrix
- missing values
- singular value decomposition
- semi supervised
- data matrix
- high dimensional data
- high order
- low rank matrices
- matrix decomposition
- rank minimization
- incomplete data
- tensor factorization
- tensor decomposition
- nonnegative matrix factorization
- probabilistic latent semantic analysis
- kernel matrix
- reconstruction error
- low rank approximation
- singular values
- optical flow
- least squares
- collaborative filtering
- data points