: Subspace Outlier Ranking Exploration Toolkit.
Emmanuel MüllerMatthias SchifferPatrick GerwertMatthias HannenTimm JansenThomas SeidlPublished in: ECML/PKDD (3) (2010)
Keyphrases
- ranking algorithm
- clustering high dimensional data
- outlier detection
- ranking functions
- principal component analysis
- feature space
- web search
- low dimensional
- link analysis
- subspace clustering
- novelty detection
- subspace learning
- rank aggregation
- dimensionality reduction
- high dimensional
- machine learning
- lower dimensional
- linear subspace