Large-scale non-negative subspace clustering based on Nyström approximation.
Hongjie JiaQize RenLongxia HuangQirong MaoLiangjun WangHeping SongPublished in: Inf. Sci. (2023)
Keyphrases
- low rank matrix approximation
- eigendecomposition
- low rank approximation
- subspace learning
- spectral clustering
- real world
- covariance matrix
- feature space
- matrix approximation
- subspace clustering
- positive and negative
- error bounds
- low dimensional
- dimensionality reduction
- high dimensional
- closed form
- matrix completion
- approximation algorithms
- low rank
- queueing networks
- approximation error
- data sets
- input data