Adaptive Laplacian Eigenmap-Based Dimension Reduction for Ocean Target Discrimination.
Lei ShiLefei ZhangLingli ZhaoLiangpei ZhangPingxiang LiDan WuPublished in: IEEE Geosci. Remote. Sens. Lett. (2016)
Keyphrases
- dimension reduction
- manifold learning
- laplacian eigenmaps
- feature selection
- low dimensional
- principal component analysis
- feature extraction
- dimensionality reduction
- singular value decomposition
- high dimensional
- kernel pca
- random projections
- high dimensional data
- partial least squares
- cluster analysis
- unsupervised learning
- linear discriminant analysis
- feature space
- high dimensionality
- neural network
- data analysis
- image processing
- locally linear embedding
- nonlinear dimensionality reduction
- learning algorithm
- data points
- preprocessing
- geodesic distance
- pattern recognition