An error analysis on locally linear embedding.
Peng ZhangChunbo FanYuanyuan RenZhou SunPublished in: GrC (2013)
Keyphrases
- error analysis
- locally linear embedding
- dimensionality reduction
- manifold learning
- low dimensional
- nonlinear dimensionality reduction
- high dimensional
- high dimensional data
- least squares
- laplacian eigenmaps
- dimensional data
- error correction
- principal component analysis
- subspace learning
- dimensionality reduction methods
- principal components analysis
- nearest neighbor
- geodesic distance
- pattern recognition
- feature extraction
- data sets
- dimension reduction
- feature space
- random projections
- triangular mesh
- machine learning