Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer.
Sayantan BanerjeeRehan AkbaniVeerabhadran BaladandayuthapaniPublished in: Comput. Stat. Data Anal. (2019)
Keyphrases
- spectral clustering
- structure learning
- bayesian networks
- graph laplacian
- similarity matrix
- graphical models
- graph partitioning
- data clustering
- affinity matrix
- normalized cut
- k means
- network structure
- clustering algorithm
- graph structure
- pairwise
- clustering method
- random walk
- high dimensional
- image segmentation
- laplacian matrix
- prior knowledge
- social networks