DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors.
Stephan GünnemannBrigitte BodenThomas SeidlPublished in: ECML/PKDD (1) (2011)
Keyphrases
- subspace clustering
- feature vectors
- subgraph mining
- dense regions
- high dimensional data
- subspace clusters
- clustering method
- clustering high dimensional data
- clustering algorithm
- high dimensional
- subspace projections
- graph matching
- graph theoretic
- subgraph isomorphism
- face images
- euclidean distance
- low dimensional spaces
- feature extraction
- graph mining
- data analysis
- graph databases
- arbitrary shape
- subspace projection
- pattern recognition
- database