Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering.
Qiong WangJunbin GaoHong LiPublished in: CVPR (2017)
Keyphrases
- spectral clustering
- graph laplacian
- manifold structure
- data clustering
- low rank approximation
- pairwise
- clustering method
- eigenvalue decomposition
- high dimensional
- k means
- image segmentation
- similarity matrix
- manifold learning
- constrained spectral clustering
- spectral methods
- clustering algorithm
- affinity matrix
- eigendecomposition
- subspace learning
- low rank representation
- pairwise constraints
- graph partitioning
- normalized cut
- negative matrix factorization
- low dimensional
- kernel machines
- nonnegative matrix factorization
- machine learning
- singular value decomposition
- semi supervised learning
- unsupervised learning
- image processing
- computer vision