Scale-independent quality criteria for dimensionality reduction.
John Aldo LeeMichel VerleysenPublished in: Pattern Recognit. Lett. (2010)
Keyphrases
- dimensionality reduction
- low dimensional
- principal component analysis
- principal components
- manifold learning
- high dimensional
- high dimensional data
- structure preserving
- kernel learning
- feature extraction
- pattern recognition
- support vector machine
- data quality
- data representation
- scale space
- random projections
- nonlinear dimensionality reduction
- linear projection
- pattern recognition and machine learning
- neural network
- high dimensionality
- sparse representation
- feature space
- website
- feature selection
- information systems
- artificial intelligence
- data mining