Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering.
Bertrand CharpentierThomas BonaldPublished in: IJCAI (2019)
Keyphrases
- information theoretic
- graph clustering
- kl divergence
- jensen shannon divergence
- information theoretic measures
- relative entropy
- information theory
- mutual information
- jensen shannon
- information geometry
- kullback leibler
- network analysis
- clustering method
- community detection
- tree structure
- bipartite graph
- kullback leibler divergence
- link prediction
- weighted graph
- metric space
- distance measure
- text mining
- fisher information
- k means
- data mining
- evaluation metrics
- complex networks
- metric learning
- distance metric
- social network analysis
- random walk
- image registration
- clustering algorithm
- image processing