Out of samples extensions for SC-LLE, new nonlinear dimensionality reduction algorithm.
Hala HijaziOussama BazziAndré BigandPublished in: ICCIT (2013)
Keyphrases
- high dimensional
- dimensionality reduction
- training samples
- locally linear embedding
- locally linear
- low dimensional
- high dimensional data
- high dimension
- data sets
- high dimensional feature space
- small sample
- high dimensionality
- kernel pca
- lower dimensional
- manifold learning
- feature space
- multi dimensional
- feature mapping
- intrinsic dimensionality
- input space
- dimensional data
- high order
- high dimensional spaces
- sample points
- training set
- pattern recognition
- data samples
- default logic
- dimension reduction
- sample set
- data points