OutRank: ranking outliers in high dimensional data.
Emmanuel MüllerIra AssentUwe SteinhausenThomas SeidlPublished in: ICDE Workshops (2008)
Keyphrases
- high dimensional data
- data points
- missing values
- dimensionality reduction
- high dimensional
- nearest neighbor
- low dimensional
- high dimensions
- high dimensionality
- subspace clustering
- data sets
- original data
- high dimensional spaces
- dimension reduction
- linear discriminant analysis
- data analysis
- data distribution
- high dimensional datasets
- similarity search
- outlier detection
- low rank
- clustering high dimensional data
- manifold learning
- input space
- sparse representation
- lower dimensional
- dimensional data
- feature space
- neural network
- euclidean distance
- hyperplane
- text data
- multi dimensional
- pattern recognition
- image processing
- nonlinear dimensionality reduction
- small sample size