Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering.
Zheng WangLin ZuoJing MaSi ChenJingjing LiZhao KangLei ZhangPublished in: World Wide Web (2020)
Keyphrases
- spectral clustering
- noise resistant
- low rank
- nonnegative matrix factorization
- matrix decomposition
- affinity matrix
- eigendecomposition
- low rank representation
- low rank matrix
- matrix factorization
- low rank approximation
- clustering method
- linear combination
- missing data
- convex optimization
- data clustering
- pairwise
- matrix completion
- singular value decomposition
- k means
- kernel matrix
- high order
- semi supervised
- image segmentation
- similarity matrix
- manifold structure
- graph laplacian
- high dimensional data
- negative matrix factorization
- graph partitioning
- least squares
- pairwise constraints
- highly correlated
- clustering algorithm
- document clustering
- normalized cut
- collaborative filtering
- low rank matrix approximation
- machine learning
- data sets