HiCS: High Contrast Subspaces for Density-Based Outlier Ranking.
Fabian KellerEmmanuel MüllerKlemens BöhmPublished in: ICDE (2012)
Keyphrases
- high contrast
- outlier detection
- low contrast
- outlier mining
- ranking algorithm
- ranking functions
- web search
- anomaly detection
- clustering method
- high dimensional data
- high dimensional
- data mining
- clustering algorithm
- density based clustering
- blood vessels
- learning to rank
- data sets
- link analysis
- subspace clustering
- data points
- image analysis
- arbitrary shape
- rank aggregation
- spatial clustering
- subspace clusters
- web search engines
- grassmann manifold
- principal component analysis