Consensus Subspace Graph Regularization based on prior information for multiplex network clustering.
Xianghua LiShu YinXingjian LiuChao GaoZhen WangVladimir I. NekorkinPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- prior information
- prior knowledge
- graph theoretic
- bayesian inference
- graph clustering
- hyperparameters
- prior models
- clustering method
- k means
- subspace clustering
- clustering algorithm
- high dimensional
- graph model
- prior model
- prior distribution
- graph partitioning
- spanning tree
- weighted graph
- directed networks
- data clustering
- complex networks
- spectral clustering
- community discovery
- self organizing maps
- clustering ensemble
- random graphs
- graph theory
- decision trees
- densely connected
- graph construction
- dimensionality reduction
- small world
- network structure
- low dimensional
- principal component analysis
- edge weights
- generative model
- pairwise
- consensus clustering
- directed graph
- graph structure