Keyphrases
- feature space
- high dimensional
- low dimensional
- error bounds
- approximation error
- eigendecomposition
- dimensionality reduction
- approximation algorithms
- data sets
- high dimensional data
- set of basis functions
- clustering high dimensional data
- subspace analysis
- subspace clusters
- approximation methods
- principal components analysis
- queueing networks
- subspace learning
- feature extraction
- face recognition
- feature selection
- computer vision
- learning algorithm
- genetic algorithm