Locally linear embedding preserving local neighborhood.
Tingquan DengJinyan LiuNing WangPublished in: ICNC-FSKD (2016)
Keyphrases
- locally linear embedding
- manifold learning algorithm
- manifold learning
- dimensionality reduction
- nonlinear dimensionality reduction
- low dimensional
- high dimensional data
- high dimensional
- neighborhood graph
- laplacian eigenmaps
- geodesic distance
- principal component analysis
- dimensional data
- dimension reduction
- locality preserving projections
- subspace learning
- triangular mesh
- orthogonal projection
- pattern recognition
- random projections
- input data
- feature selection
- machine learning
- neural network
- data sets