Nonlinear dimensionality reduction by curvature minimization.
Yusuke YoshiyasuEiichi YoshidaPublished in: ICPR (2016)
Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- dimensionality reduction
- high dimensional data
- low dimensional
- diffusion maps
- objective function
- maximum variance unfolding
- laplacian eigenmaps
- multiscale
- dimensionality reduction methods
- locally linear embedding
- riemannian manifolds
- multi dimensional
- singular value decomposition
- principal component analysis
- computer vision
- data mining
- data sets