Error-robust multi-view subspace clustering with nonconvex low-rank tensor approximation and hyper-Laplacian graph embedding.
Baicheng PanChuandong LiHangjun ChePublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- multi view
- low rank
- subspace clustering
- high dimensional data
- dimensionality reduction
- semi supervised
- high order
- convex optimization
- low dimensional
- multiple views
- d objects
- nearest neighbor
- subspace learning
- matrix factorization
- high dimensionality
- singular value decomposition
- data sets
- clustering method
- high dimensional
- data points
- linear combination
- missing data
- manifold learning
- pattern recognition
- linear discriminant analysis
- data representation
- label information
- higher order
- data analysis
- semi supervised learning
- labeled data
- clustering algorithm
- image processing
- discriminant analysis
- sparse coding
- principal component analysis
- feature space