Piecewise-linear manifold learning: A heuristic approach to non-linear dimensionality reduction.
Harry StrangeReyer ZwiggelaarPublished in: Intell. Data Anal. (2015)
Keyphrases
- manifold learning
- piecewise linear
- dynamic programming
- principal curves
- dimensionality reduction
- low dimensional
- high dimensional
- nonlinear dimensionality reduction
- semi supervised
- diffusion maps
- high dimensional data
- feature extraction
- dimension reduction
- manifold structure
- locally linear embedding
- laplacian eigenmaps
- regression algorithm
- sparse representation
- geodesic distance
- hyperplane
- locality preserving projections
- feature space
- low dimensional manifolds
- data sets
- data analysis
- principal component analysis
- similarity measure
- input space