An Unbiased Distance-Based Outlier Detection Approach for High-Dimensional Data.
Hoang Vu NguyenVivekanand GopalkrishnanIra AssentPublished in: DASFAA (1) (2011)
Keyphrases
- high dimensional data
- distance based outlier detection
- outlier detection
- categorical data
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensional
- subspace clustering
- high dimensions
- high dimensionality
- data analysis
- data points
- similarity search
- data sets
- original data
- clustering high dimensional data
- dimensional data
- high dimensional spaces
- input space
- linear discriminant analysis
- data distribution
- lower dimensional
- manifold learning
- dimension reduction
- sparse representation
- input data
- nonlinear dimensionality reduction
- text data
- subspace learning
- training set
- microarray
- text mining
- learning algorithm
- high dimensional datasets
- information retrieval
- data mining
- variable weighting
- neural network