Randomized Robust Subspace Recovery and Outlier Detection for High Dimensional Data Matrices.
Mostafa RahmaniGeorge K. AtiaPublished in: IEEE Trans. Signal Process. (2017)
Keyphrases
- high dimensional data
- outlier detection
- high dimensional datasets
- low dimensional
- subspace clustering
- dimensionality reduction
- clustering high dimensional data
- original data
- high dimensional
- nearest neighbor
- high dimensionality
- data sets
- data analysis
- data points
- data distribution
- lower dimensional
- similarity search
- high dimensional spaces
- low rank
- knowledge discovery
- manifold learning
- subspace learning
- input space
- detection algorithm
- data mining
- detect outliers
- detecting outliers
- linear discriminant analysis
- singular value decomposition
- dimensional data
- missing values
- input data
- density estimation
- pattern recognition
- data streams
- similarity measure
- image processing
- machine learning
- subspace clusters
- multi dimensional
- outlier mining