Dimensionality reduction via discretization.
Huan LiuRudy SetionoPublished in: Knowl. Based Syst. (1996)
Keyphrases
- dimensionality reduction
- high dimensional
- high dimensionality
- high dimensional data
- feature extraction
- data representation
- low dimensional
- linear discriminant analysis
- pattern recognition
- principal component analysis
- data points
- random projections
- principal components analysis
- preprocessing step
- discretization method
- structure preserving
- manifold learning
- discretization methods
- dimensionality reduction methods
- euclidean distance
- dimension reduction
- pattern recognition and machine learning
- nonlinear dimensionality reduction
- metric learning
- principal components
- sparse representation
- feature space
- lower dimensional
- intrinsic dimensionality
- image processing
- feature selection
- preprocessing
- kernel learning
- face recognition
- locally linear embedding
- decision trees
- discrete space
- genetic algorithm
- neural network