A low rank ODE for spectral clustering stability.
Nicola GuglielmiStefano SiciliaPublished in: CoRR (2023)
Keyphrases
- low rank
- spectral clustering
- affinity matrix
- eigendecomposition
- linear combination
- matrix factorization
- low rank representation
- low rank approximation
- pairwise
- missing data
- convex optimization
- singular value decomposition
- matrix completion
- high order
- semi supervised
- clustering method
- clustering algorithm
- k means
- manifold structure
- data clustering
- graph partitioning
- similarity matrix
- high dimensional data
- graph laplacian
- image segmentation
- nonnegative matrix factorization
- kernel matrix
- high dimensional
- negative matrix factorization
- pairwise constraints
- dimensionality reduction
- least squares
- normalized cut
- data sets