Keyphrases
- dimensionality reduction
- principal component analysis
- euclidean distance
- discriminant information
- lower dimensional
- covariance matrix
- high dimensionality
- data representation
- data points
- high dimensional data
- feature extraction
- high dimensional
- pattern recognition and machine learning
- feature selection
- distance measure
- low dimensional
- structure preserving
- data sets
- principal components
- distance metric
- distance function
- linear discriminant analysis
- pattern recognition
- metric learning
- decomposition method
- minimum distance
- linear dimensionality reduction
- intrinsic dimensionality
- nonlinear dimensionality reduction
- multivariate gaussian distribution
- distance computation
- random projections
- input space
- manifold learning
- microarray
- pairwise
- image processing
- neural network