Outlier for High Dimensional Data A Review.
Wasan Abd MajeedMurtadha M. HamadPublished in: DeSE (2023)
Keyphrases
- high dimensional data
- low dimensional
- high dimensionality
- dimensionality reduction
- nearest neighbor
- data analysis
- high dimensional
- high dimensions
- data sets
- similarity search
- data points
- subspace clustering
- outlier detection
- dimension reduction
- original data
- input space
- high dimensional spaces
- nonlinear dimensionality reduction
- clustering high dimensional data
- complex data
- manifold learning
- small sample size
- linear discriminant analysis
- data distribution
- high dimensional datasets
- sparse representation
- lower dimensional
- subspace learning
- dimensional data
- machine learning
- high dimensional feature spaces
- database
- feature extraction
- decision trees
- locally linear embedding
- learning algorithm
- data mining
- neural network
- low dimensional structure