Outlier Detection in High Dimensional Data.
Firuz KamalovHo Hon LeungPublished in: J. Inf. Knowl. Manag. (2020)
Keyphrases
- outlier detection
- high dimensional data
- high dimensional datasets
- high dimensional
- nearest neighbor
- dimensionality reduction
- high dimensionality
- low dimensional
- data sets
- data analysis
- knowledge discovery
- subspace clustering
- data streams
- data points
- data distribution
- similarity search
- detection algorithm
- data mining
- density ratio estimation
- outlier mining
- detecting outliers
- input space
- density estimation
- clustering high dimensional data
- low rank
- detect outliers
- missing values
- principal component analysis
- image data
- dimensional data
- pattern recognition
- information retrieval
- distance based outlier detection