Out-of-Distribution Detection in High-Dimensional Data Using Mahalanobis Distance - Critical Analysis.
Henryk MaciejewskiTomasz WalkowiakKamil SzycPublished in: ICCS (1) (2022)
Keyphrases
- high dimensional data
- mahalanobis distance
- data distribution
- data analysis
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensional
- subspace clustering
- data sets
- clustering high dimensional data
- manifold learning
- machine learning
- metric learning
- similarity search
- data points
- euclidean distance
- particle swarm optimization
- database systems