Keyphrases
- low dimensional
- manifold learning
- high dimensional
- laplacian matrix
- dimensionality reduction
- high dimensional data
- spectral methods
- euclidean space
- data points
- vector space
- principal component analysis
- dimension reduction
- input space
- feature space
- spectral analysis
- hyperspectral
- hyperspectral imagery
- high dimensional spaces
- lower dimensional
- spectral decomposition
- machine learning
- spectral features
- data sets
- linear dimensionality reduction
- low dimensional spaces
- locally linear embedding
- multidimensional scaling
- multispectral images
- nonlinear dimensionality reduction
- manifold structure
- low dimensional manifolds
- latent space
- spectral images
- neural network