Low-Rank Tensor Regularized Views Recovery for Incomplete Multiview Clustering.
Chao ZhangHuaxiong LiCaihua ChenXiuyi JiaChunlin ChenPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- trace norm
- low rank
- missing data
- high dimensional data
- multiple views
- ell norm
- high order
- single view
- matrix factorization
- matrix completion
- k means
- frobenius norm
- tensor decomposition
- multi task
- rank minimization
- convex optimization
- linear combination
- singular value decomposition
- clustering algorithm
- low rank matrix
- semi supervised
- clustering method
- multi view
- missing values
- matrix decomposition
- tensor factorization
- affinity matrix
- norm minimization
- kernel matrix
- dimensionality reduction
- singular values
- spectral clustering
- minimization problems
- incomplete data
- data points
- nearest neighbor
- structure from motion
- data mining
- subspace clustering
- face recognition
- data analysis
- recommender systems
- least squares
- low dimensional
- point correspondences
- document clustering
- data clustering
- trifocal tensor
- data matrix
- data sets
- compressive sensing
- nonnegative matrix factorization