Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering.
Anderson Y. ZhangHarrison H. ZhouPublished in: CoRR (2022)
Keyphrases
- spectral clustering
- eigendecomposition
- affinity matrix
- clustering method
- kernel pca
- pairwise
- data clustering
- low rank representation
- subspace clustering
- spectral methods
- clustering algorithm
- image segmentation
- graph laplacian
- similarity matrix
- low dimensional
- k means
- linear subspace
- nonnegative matrix factorization
- feature space
- high dimensional data
- similarity graph
- subspace learning
- graph partitioning
- alternative clusterings
- principal component analysis
- low rank
- eigenvalue decomposition
- normalized cut
- training set
- feature extraction
- constrained spectral clustering
- image processing
- constrained clustering
- label propagation
- pairwise constraints
- negative matrix factorization
- high dimensional
- nearest neighbor
- covariance matrix
- supervised learning
- unsupervised learning
- dimensionality reduction