A scalable two-stage approach for a class of dimensionality reduction techniques.
Liang SunBetul CeranJieping YePublished in: KDD (2010)
Keyphrases
- class separability
- dimensionality reduction
- feature selection
- intra class
- high dimensional
- high dimensional data
- feature space
- high dimensionality
- discriminant analysis
- data representation
- principal component analysis
- feature extraction
- input space
- label information
- random projections
- supervised dimensionality reduction
- manifold learning
- multi class
- class discrimination
- multi class classification
- highly scalable
- web scale
- data points
- dimensionality reduction methods
- graph embedding
- support vector
- pattern recognition and machine learning