In and Out: Optimizing Overall Interaction in Probabilistic Graphs under Clustering Constraints.
Domenico MandaglioAndrea TagarelliFrancesco GulloPublished in: KDD (2020)
Keyphrases
- graph theoretic
- k means
- graph clustering
- constrained clustering
- clustering method
- clustering algorithm
- semi supervised clustering
- information theoretic
- instance level constraints
- bayesian networks
- probabilistic model
- data clustering
- graph matching
- hierarchical clustering
- graph theory
- data mining
- pairwise similarities
- generative model
- graph model
- constrained optimization
- human computer interaction
- spectral clustering
- data objects
- document clustering
- cluster analysis
- constraint satisfaction
- geometric constraints
- link prediction
- high dimensional
- minimum message length
- unsupervised learning