A big graph clustering method to support parallel processing by perceiving graph's application algorithm semantics.
Tengteng ChengGuosun ZengZhipeng SunPublished in: J. Supercomput. (2024)
Keyphrases
- clustering method
- parallel processing
- graph clustering
- k means
- graph structure
- graph model
- hierarchical clustering
- clustering algorithm
- tree decomposition
- similarity measure
- affinity propagation
- processing speed
- weighted graph
- random walk
- cluster structure
- similarity matrix
- directed graph
- cluster analysis
- subspace clustering
- computational power
- detection algorithm
- data clustering
- bipartite graph
- markov chain
- dissimilarity measure
- spanning tree
- graph partitioning
- clustering analysis
- clustering framework
- classical clustering algorithms
- high dimensional
- times faster
- high efficiency
- community detection
- fuzzy c means
- document clustering