Clustering A Collection of Networks With Mixtures of L1-Sparse Graphical Models.
Zuogong YueVictor SoloPublished in: ICASSP (2021)
Keyphrases
- graphical models
- gaussian graphical models
- belief propagation
- probabilistic model
- random variables
- probabilistic graphical models
- approximate inference
- bayesian networks
- clustering algorithm
- conditional random fields
- probabilistic networks
- structure learning
- directed acyclic
- probabilistic inference
- markov networks
- belief networks
- statistical inference
- k means
- unsupervised learning
- social networks
- map inference
- exact inference
- mixture model
- conditional independence
- graph structure
- network structure
- data points
- undirected graphical models
- complex networks
- high dimensional
- factor graphs
- network model
- possibilistic networks
- information extraction