Subspace rotations for high-dimensional outlier detection.
Hee Cheol ChungJeongyoun AhnPublished in: J. Multivar. Anal. (2021)
Keyphrases
- outlier detection
- high dimensional
- low dimensional
- high dimensional datasets
- high dimensional data
- dimensionality reduction
- high dimensionality
- feature space
- fraud detection
- detection algorithm
- data points
- multi dimensional
- data mining
- nearest neighbor
- data streams
- similarity search
- density ratio estimation
- detect outliers
- knowledge discovery
- detecting outliers
- principal component analysis
- distance based outlier detection
- credit card fraud detection
- density estimation
- spatial outliers
- kernel function
- feature selection
- data sets
- high dimensional spaces
- dimensional data
- data clustering