Multi-agent Random Walks for Local Clustering on Graphs.
Morteza AlamgirUlrike von LuxburgPublished in: ICDM (2010)
Keyphrases
- random walk
- spectral methods
- multi agent
- directed graph
- graph clustering
- proximity measures
- clustering method
- link prediction
- markov chain
- nodes of a graph
- average degree
- hyper graph
- manifold learning
- clustering algorithm
- spectral clustering
- web graph
- k means
- multi agent systems
- markov random walk
- transition probabilities
- spectral analysis
- transition probability matrix
- flow graph
- data clustering
- graph model
- graph construction
- graph laplacian
- similarity function
- random walker
- graph partitioning
- bipartite graph
- stationary distribution
- network analysis
- data mining applications
- multi label
- social network analysis
- data points
- search algorithm
- reinforcement learning
- similarity measure