Outlier Mining Based on Variance of Angle Technology Research in High-Dimensional Data.
Wenting LiuRuikai PanPublished in: ISKE (2015)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- high dimensional
- high dimensionality
- high dimensions
- outlier mining
- subspace clustering
- data sets
- data analysis
- low dimensional
- dimension reduction
- data points
- manifold learning
- similarity search
- linear discriminant analysis
- high dimensional spaces
- clustering high dimensional data
- missing values
- intrusion detection
- lower dimensional
- dimensional data
- high dimensional datasets
- high dimensional data sets
- outlier detection
- input data
- query processing
- input space
- k means
- feature space
- pattern recognition
- similarity measure
- feature extraction