Latent structure blockmodels for Bayesian spectral graph clustering.
Francesco Sanna PassinoNicholas A. HeardPublished in: Stat. Comput. (2022)
Keyphrases
- graph clustering
- latent structure
- normalized cut
- multidimensional scaling
- discriminative learning
- latent variables
- negative matrix factorization
- bipartite graph
- generative model
- clustering method
- spectral clustering
- weighted graph
- low dimensional
- link prediction
- graph partitioning
- image segmentation
- bayesian inference
- nonnegative matrix factorization
- image processing
- k means
- maximum likelihood
- pairwise
- clustering algorithm
- object detection
- probability distribution