On the scalability of feature selection methods on high-dimensional data.
Verónica Bolón-CanedoDiego Fernández-FrancosDiego Peteiro-BarralAmparo Alonso-BetanzosBertha Guijarro-BerdiñasNoelia Sánchez-MaroñoPublished in: Knowl. Inf. Syst. (2018)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- high dimensional
- data sets
- low dimensional
- subspace clustering
- high dimensionality
- dimension reduction
- data analysis
- data points
- high dimensions
- nonlinear dimensionality reduction
- input space
- high dimensional datasets
- high dimensional spaces
- similarity search
- linear discriminant analysis
- clustering high dimensional data
- original data
- data distribution
- sparse representation
- complex data
- dimensional data
- manifold learning
- small sample size
- feature selection
- locally linear embedding
- data structure
- high dimensional data sets