GPU parallelization of the sequential matrix diagonalization algorithm and its application to high-dimensional data.
Manuel CarcenacSoydan RedifServer KasapPublished in: J. Supercomput. (2017)
Keyphrases
- high dimensional data
- low rank
- parallel processing
- dimensionality reduction
- high dimensional
- low dimensional
- nearest neighbor
- high dimensionality
- subspace clustering
- high dimensions
- data points
- data sets
- data analysis
- dimension reduction
- parallel version
- similarity search
- original data
- linear discriminant analysis
- dimensional data
- clustering high dimensional data
- input space
- missing values
- text data
- lower dimensional
- singular value decomposition
- high dimensional spaces
- nonlinear dimensionality reduction
- small sample size
- manifold learning
- parallel implementation
- subspace learning
- high dimensional datasets
- high dimensional data sets
- training data
- feature selection