A Novel Two-Stage Multi-view Low-Rank Sparse Subspace Clustering Approach to Explore the Relationship Between Brain Function and Structure.
Shu ZhangYanqing KangSigang YuJinru WuEnze ShiRuoyang WangZhibin HeLei DuTuo ZhangPublished in: MLMI@MICCAI (2022)
Keyphrases
- multi view
- low rank
- subspace clustering
- high dimensional data
- semi supervised
- rank minimization
- low rank matrix
- single view
- high dimensional
- multiple views
- affinity matrix
- dimensionality reduction
- convex optimization
- singular value decomposition
- sparse representation
- linear combination
- matrix factorization
- three dimensional
- d objects
- low dimensional
- high dimensionality
- data sets
- clustering method
- nearest neighbor
- missing data
- bundle adjustment
- semi supervised learning
- text classification
- input data
- high order
- active learning
- computer vision