Kernel-based low-rank tensorized multiview spectral clustering.
Xiao YuHui LiuYan WuHuaijun RuanPublished in: Int. J. Intell. Syst. (2021)
Keyphrases
- spectral clustering
- low rank
- kernel pca
- affinity matrix
- convex optimization
- linear combination
- pairwise
- eigendecomposition
- missing data
- clustering method
- semi supervised
- data clustering
- matrix completion
- matrix factorization
- kernel matrix
- high order
- singular value decomposition
- kernel methods
- low rank representation
- high dimensional data
- k means
- clustering algorithm
- similarity matrix
- low rank approximation
- support vector machine
- normalized cut
- image segmentation
- graph partitioning
- support vector
- manifold structure
- nonnegative matrix factorization
- pattern recognition
- pairwise constraints
- multiple views
- object recognition
- training set
- negative matrix factorization
- graph laplacian
- higher order
- image restoration
- kernel function
- cluster analysis