Dimensionality reduction and visualization of geoscientific images via locally linear embedding.
Fabio BoschettiPublished in: Comput. Geosci. (2005)
Keyphrases
- dimensionality reduction
- locally linear embedding
- principal components
- high dimensional data
- input image
- low dimensional
- three dimensional
- manifold learning
- image data
- nonlinear dimensionality reduction
- high dimensional
- principal component analysis
- image features
- image classification
- underlying manifold
- feature selection
- laplacian eigenmaps
- feature space
- data representation
- dimensionality reduction methods
- object recognition
- linear discriminant analysis
- high dimensionality
- shortest path
- neural network