Randomized Robust Subspace Recovery for High Dimensional Data Matrices.
Mostafa RahmaniGeorge K. AtiaPublished in: CoRR (2015)
Keyphrases
- high dimensional data
- low dimensional
- subspace clustering
- original data
- high dimensional
- dimensionality reduction
- high dimensions
- nearest neighbor
- high dimensionality
- data sets
- clustering high dimensional data
- dimension reduction
- data points
- input space
- missing values
- lower dimensional
- low rank
- data analysis
- similarity search
- high dimensional spaces
- database
- sparse representation
- linear discriminant analysis
- text data
- neural network
- random projections
- singular value decomposition
- subspace learning
- small sample size
- input data
- high dimensional data sets
- manifold learning
- feature space
- dimensional data
- sparse coding
- subspace clusters
- image data
- low dimensional structure