Keyphrases
- dimensionality reduction
- high dimensional
- data representation
- low dimensional
- pattern recognition
- principal component analysis
- high dimensional data
- high dimensionality
- spectral analysis
- manifold learning
- linear discriminant analysis
- data points
- feature extraction
- highly redundant
- hyperspectral imagery
- hyperspectral
- feature selection
- input space
- pattern recognition and machine learning
- intrinsic dimensionality
- dimensionality reduction methods
- euclidean distance
- introducing additional
- metric learning
- linear dimensionality reduction
- spectral methods
- kernel pca
- kernel learning
- random projections
- least squares
- nonlinear dimensionality reduction
- image analysis
- feature space
- hyperspectral images
- spectral images
- linear projection
- machine learning
- dimension reduction