Weighted locally linear embedding for dimension reduction.
Yaozhang PanShuzhi Sam GeAbdullah Al MamunPublished in: Pattern Recognit. (2009)
Keyphrases
- dimension reduction
- locally linear embedding
- manifold learning
- low dimensional
- high dimensional data
- dimensionality reduction
- high dimensional
- nonlinear dimensionality reduction
- principal component analysis
- manifold learning algorithm
- linear discriminant analysis
- high dimensionality
- feature extraction
- diffusion maps
- nearest neighbor
- discriminative information
- random projections
- cluster analysis
- feature selection
- feature space
- data mining
- dimensional data
- data points
- singular value decomposition
- locality preserving projections
- data analysis
- partial least squares
- subspace learning
- principal components
- preprocessing step
- euclidean space
- multi dimensional
- similarity search
- sparse representation
- computer vision
- neural network