Manifold Learning for Visualization of Vibrational States of a Rotating Machine.
Ignacio Díaz BlancoAbel Alberto Cuadrado VegaAlberto B. DiezManuel Domínguez-GonzálezPublished in: ICANN (2) (2011)
Keyphrases
- manifold learning
- nonlinear dimension reduction
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- diffusion maps
- high dimensional
- semi supervised
- feature extraction
- head pose estimation
- subspace learning
- laplacian eigenmaps
- dimension reduction
- data analysis
- sparse representation
- manifold structure
- locality preserving
- generative topographic mapping
- data visualization
- high dimensional data
- manifold learning algorithm
- nonlinear manifold
- self organizing maps
- geodesic distance
- locally linear embedding
- feature space
- feature selection