Hyper-Laplacian Regularized Multi-View Subspace Clustering With a New Weighted Tensor Nuclear Norm.
Qingjiang XiaoShiqiang DuJinmei SongYao YuYixuan HuangPublished in: IEEE Access (2021)
Keyphrases
- multi view
- subspace clustering
- high dimensional data
- norm minimization
- low rank
- high order
- sparse coding
- multiple views
- clustering method
- high dimensional
- three dimensional
- higher order
- clustering algorithm
- dimensionality reduction
- semi supervised
- sparse representation
- d objects
- matrix completion
- convex optimization
- least squares
- light field
- high dimensionality
- low dimensional
- nearest neighbor
- linear subspace
- data mining
- matrix factorization
- image data
- image restoration
- data sets
- image classification