Manifold learning reveals nonlinear structure in metagenomic profiles.
Xingpeng JiangXiaohua HuHuiyu ShenTingting HePublished in: BIBM (2012)
Keyphrases
- manifold learning
- nonlinear manifold learning
- nonlinear manifold
- dimensionality reduction
- underlying manifold
- low dimensional
- manifold structure
- high dimensional
- manifold embedding
- diffusion maps
- feature mapping
- dimension reduction
- nonlinear dimensionality reduction
- head pose estimation
- principal curves
- semi supervised
- subspace learning
- high dimensional data
- feature extraction
- geodesic distance
- low dimensional manifolds
- laplacian eigenmaps
- feature space
- neural network
- preprocessing
- pattern recognition
- image processing
- machine learning