Low-rank tensor constrained co-regularized multi-view spectral clustering.
Huiling XuXiangdong ZhangWei XiaQuanxue GaoXinbo GaoPublished in: Neural Networks (2020)
Keyphrases
- multi view
- trace norm
- spectral clustering
- low rank
- semi supervised
- affinity matrix
- pairwise
- low rank representation
- matrix completion
- convex optimization
- high order
- linear combination
- data clustering
- matrix factorization
- missing data
- clustering method
- multiple views
- d objects
- image segmentation
- unlabeled data
- labeled data
- singular value decomposition
- three dimensional
- multi task
- high dimensional data
- k means
- bundle adjustment
- semi supervised learning
- pairwise constraints
- kernel matrix
- clustering algorithm
- negative matrix factorization
- nonnegative matrix factorization
- high dimensional
- unsupervised learning
- dimensionality reduction
- labeled and unlabeled data
- markov random field
- manifold learning