Clustering-Based Nonlinear Dimensionality Reduction on Manifold.
Guihua WenLijun JiangJun WenNigel R. ShadboltPublished in: PRICAI (2006)
Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- diffusion maps
- low dimensional
- laplacian eigenmaps
- high dimensional data
- dimensionality reduction
- maximum variance unfolding
- low dimensional manifolds
- locally linear embedding
- riemannian manifolds
- high dimensional
- underlying manifold
- manifold structure
- feature space
- dimensionality reduction methods
- dimension reduction
- data visualization
- feature selection
- vector space
- sparse representation
- image classification
- semi supervised
- pairwise
- image processing