Supervised Locally Linear Embedding based dimension reduction for hyperspectral image classification.
Yushi ChenChangbo QuZhouhan LinPublished in: IGARSS (2013)
Keyphrases
- dimension reduction
- locally linear embedding
- manifold learning
- low dimensional
- dimensionality reduction
- high dimensional data
- high dimensional
- manifold learning algorithm
- unsupervised learning
- principal component analysis
- feature selection
- high dimensionality
- feature space
- partial least squares
- random projections
- feature extraction
- linear discriminant analysis
- singular value decomposition
- nearest neighbor
- learning algorithm
- semi supervised
- subspace learning
- euclidean space
- data points
- data sets
- machine learning
- supervised learning
- cluster analysis
- preprocessing step
- hyperspectral images
- data analysis
- face recognition
- kernel function
- reinforcement learning
- pattern recognition
- dimensionality reduction methods
- principle component analysis
- preprocessing