Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data.
Abner Rodrigues NetoMauro RoisenbergGuenther Schwedersky NetoPublished in: ICANN (3) (2010)
Keyphrases
- high dimensional data
- high dimensional
- rbf network
- dimensionality reduction
- low dimensional
- nearest neighbor
- sparse representation
- confidence bounds
- subspace clustering
- input space
- data sets
- similarity search
- high dimensionality
- radial basis function
- data points
- high dimensional datasets
- pattern recognition
- manifold learning
- clustering high dimensional data
- data analysis
- learning algorithm
- input data
- principal component analysis
- high dimensional spaces
- feature space
- back propagation
- clustering method
- locally linear embedding
- underlying manifold