Manifold Learning using Growing Locally Linear Embedding.
Junsong YinDewen HuZongtan ZhouPublished in: CIDM (2007)
Keyphrases
- manifold learning
- locally linear embedding
- nonlinear dimensionality reduction
- dimensionality reduction
- low dimensional
- laplacian eigenmaps
- manifold learning algorithm
- high dimensional
- dimension reduction
- feature extraction
- semi supervised
- high dimensional data
- feature mapping
- subspace learning
- locality preserving projections
- diffusion maps
- sparse representation
- signal processing
- geodesic distance
- principal component analysis
- feature space
- random projections
- data sets
- neighborhood preserving embedding