Continuum Isomap for manifold learnings.
Hongyuan ZhaZhenyue ZhangPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- laplacian eigenmaps
- locally linear embedding
- manifold learning algorithm
- low dimensional
- dimensionality reduction
- neighborhood graph
- dimension reduction
- high dimensional
- nonlinear dimension reduction
- semi supervised
- principal component analysis
- feature mapping
- neighborhood structure
- high dimensional data
- euclidean space
- euclidean distance
- manifold structure
- riemannian manifolds
- low dimensionality
- pattern classification
- kernel pca
- feature extraction
- locality preserving projections
- low dimensional manifolds
- linear dimensionality reduction
- maximum variance unfolding
- vector space
- geodesic distance
- underlying manifold