Performing Locally Linear Embedding with Adaptable Neighborhood Size on Manifold.
Guihua WenLijun JiangJun WenNigel R. ShadboltPublished in: PRICAI (2006)
Keyphrases
- locally linear embedding
- manifold learning algorithm
- manifold learning
- nonlinear dimensionality reduction
- low dimensional
- dimensionality reduction
- laplacian eigenmaps
- high dimensional data
- high dimensional
- locally linear
- dimensional data
- neighborhood graph
- underlying manifold
- dimension reduction
- subspace learning
- principal components analysis
- diffusion maps
- neighborhood preserving embedding
- geodesic distance
- feature extraction
- principal component analysis
- dimensionality reduction methods
- locality preserving projections
- parameter space
- nearest neighbor
- d objects
- feature space