Fast and Parallel Ranking-based Clustering for Heterogeneous Graphs.
Kotaro YamazakiTomoki SatoHiroaki ShiokawaHiroyuki KitagawaPublished in: J. Data Intell. (2020)
Keyphrases
- graph theoretic
- graph clustering
- heterogeneous information networks
- clustering algorithm
- ranking algorithm
- heterogeneous networks
- k means
- parallel implementation
- graph partitioning
- spectral clustering
- learning to rank
- hierarchical clustering
- graph construction
- data partitioning
- data clustering
- shared memory
- data points
- parallel computing
- parallel execution
- heterogeneous data
- spectral methods
- content similarity
- graph databases
- graph model
- categorical data
- graph matching
- fuzzy clustering
- similarity function
- directed graph
- self organizing maps
- clustering method
- web search