Pairwise Clustering and Graphical Models.
Noam ShentalAssaf ZometTomer HertzYair WeissPublished in: NIPS (2003)
Keyphrases
- graphical models
- belief propagation
- pairwise
- probabilistic model
- probabilistic graphical models
- spectral clustering
- random variables
- approximate inference
- structure learning
- k means
- clustering algorithm
- probabilistic inference
- message passing
- bayesian networks
- conditional random fields
- markov networks
- map inference
- exact inference
- statistical inference
- belief networks
- factor graphs
- conditional independence
- gaussian graphical models
- graph structure
- markov random field
- information theoretic
- loopy belief propagation
- structural learning
- data points
- structured prediction
- probability distribution
- undirected graphical models
- possibilistic networks
- data objects