A geometric framework for outlier detection in high-dimensional data.
Moritz HerrmannFlorian PfistererFabian ScheiplPublished in: CoRR (2022)
Keyphrases
- high dimensional data
- outlier detection
- high dimensional datasets
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- high dimensionality
- data points
- input space
- information retrieval
- data distribution
- similarity search
- detection algorithm
- clustering high dimensional data
- density ratio estimation
- high dimensional spaces
- subspace clustering
- input data
- low rank
- data analysis