Efficient Mining of Combined Subspace and Subgraph Clusters in Graphs with Feature Vectors.
Stephan GünnemannBrigitte BodenInes FärberThomas SeidlPublished in: PAKDD (1) (2013)
Keyphrases
- feature vectors
- subspace clusters
- subspace clustering
- subgraph mining
- graph data
- frequent subgraph mining
- frequent subgraphs
- dense subgraphs
- subgraph matching
- feature space
- graph databases
- pattern mining
- graph classification
- euclidean distance
- maximum clique
- clustering algorithm
- subgraph isomorphism
- quasi cliques
- graph patterns
- rotation invariant
- graph matching
- high dimensional data
- input data
- support vector machine
- data points
- data streams
- data structure
- feature extraction