Finding density-based subspace clusters in graphs with feature vectors.
Stephan GünnemannBrigitte BodenThomas SeidlPublished in: Data Min. Knowl. Discov. (2012)
Keyphrases
- subspace clustering
- subspace clusters
- feature vectors
- high dimensional data
- clustering method
- arbitrarily oriented
- subspace projection
- feature space
- euclidean distance
- high dimensionality
- similarity measure
- clustering algorithm
- high dimensional
- dense regions
- nearest neighbor
- pattern recognition
- outlier detection
- feature extraction
- face recognition