Hyper-Laplacian regularized multi-view subspace clustering with low-rank tensor constraint.
Gui-Fu LuQin-Ru YuYong WangGanyi TangPublished in: Neural Networks (2020)
Keyphrases
- multi view
- subspace clustering
- trace norm
- low rank
- high dimensional data
- semi supervised
- high order
- multiple views
- dimensionality reduction
- matrix completion
- d objects
- high dimensional
- nearest neighbor
- low dimensional
- three dimensional
- data sets
- high dimensionality
- clustering method
- data points
- linear combination
- missing data
- sparse coding
- multi task
- bundle adjustment
- clustering algorithm
- matrix factorization
- convex optimization
- pairwise constraints
- sparse representation
- manifold learning
- linear discriminant analysis
- singular value decomposition
- data analysis
- pattern recognition
- higher order
- linear subspace
- norm minimization
- learning algorithm
- labeled data
- image data
- pairwise