Multi-kernel graph fusion for spectral clustering.
Bo ZhouWenliang LiuWenzhen ZhangZhengyu LuQianlin TanPublished in: Inf. Process. Manag. (2022)
Keyphrases
- spectral clustering
- multi kernel
- graph laplacian
- graph partitioning
- normalized cut
- similarity matrix
- graph embedding
- clustering method
- k means
- data clustering
- pairwise
- nonnegative matrix factorization
- clustering algorithm
- multiple kernel learning
- random walk
- image segmentation
- gaussian kernels
- data fusion
- kernel pca
- directed graph
- eigendecomposition
- weighted graph
- graph structure
- high dimensional
- pairwise constraints
- combining multiple
- object recognition
- machine learning