Discriminatory dimensionality reduction (Corresp.).
Casimir A. KulikowskiPublished in: IEEE Trans. Inf. Theory (1971)
Keyphrases
- dimensionality reduction
- feature extraction
- high dimensional data
- high dimensional
- data representation
- pattern recognition
- high dimensionality
- feature selection
- principal component analysis
- structure preserving
- low dimensional
- feature space
- euclidean distance
- random projections
- manifold learning
- linear projection
- pattern recognition and machine learning
- input space
- principal components
- preprocessing step
- dimensionality reduction methods
- nonlinear dimensionality reduction
- data points
- linear dimensionality reduction
- singular value decomposition
- linear discriminant analysis
- data sets
- lower dimensional
- search engine
- databases
- sparse representation
- principal components analysis
- kernel learning
- active learning
- data analysis
- face recognition
- diffusion maps
- website