A Novel Density-based Technique for Outlier Detection of High Dimensional Data Utilizing Full Feature Space.
Mujeeb ur RehmanDost Muhammad KhanPublished in: Inf. Technol. Control. (2021)
Keyphrases
- outlier detection
- high dimensional data
- feature space
- low dimensional
- dimensionality reduction
- high dimensionality
- high dimensional
- data points
- input space
- linear discriminant analysis
- high dimensional datasets
- subspace clustering
- lower dimensional
- nearest neighbor
- data streams
- data sets
- knowledge discovery
- input data
- density estimation
- detection algorithm
- density based clustering
- manifold learning
- principal component analysis
- detect outliers
- similarity search
- data mining
- data analysis
- high dimensional spaces
- data distribution
- outlier mining
- low rank
- feature vectors
- dimensional data
- kernel function
- training samples
- detecting outliers
- mean shift
- image representation
- pattern recognition
- feature extraction
- labeled data
- training set
- image sequences