Angle-based outlier detection in high-dimensional data.
Hans-Peter KriegelMatthias SchubertArthur ZimekPublished in: KDD (2008)
Keyphrases
- outlier detection
- high dimensional data
- high dimensional datasets
- low dimensional
- nearest neighbor
- dimensionality reduction
- high dimensionality
- subspace clustering
- high dimensional
- similarity search
- data sets
- density ratio estimation
- data analysis
- knowledge discovery
- data points
- data distribution
- detection algorithm
- density estimation
- detect outliers
- high dimensional spaces
- data streams
- low rank
- clustering high dimensional data
- data mining
- outlier mining
- input space
- missing values
- detecting outliers
- distance based outlier detection
- neural network
- dimensional data
- principal component analysis
- pattern recognition
- similarity measure
- image processing