Discovering a sparse set of pairwise discriminating features in high-dimensional data.
Samuel MeltonSharad RamanathanPublished in: Bioinform. (2021)
Keyphrases
- high dimensional data
- high dimensional
- pairwise
- dimensionality reduction
- low dimensional
- discriminating features
- pattern recognition
- clustering high dimensional data
- subspace clustering
- sparse representation
- nearest neighbor
- data points
- input data
- data sets
- high dimensions
- input space
- high dimensionality
- similarity search
- image processing
- real world
- original data
- manifold learning
- linear discriminant analysis
- data distribution
- high dimensional spaces
- feature space
- high dimensional data sets