Self-organized Locally Linear Embedding for Nonlinear Dimensionality Reduction.
Jian XiaoZongtan ZhouDewen HuJunsong YinShuang ChenPublished in: ICNC (1) (2005)
Keyphrases
- nonlinear dimensionality reduction
- locally linear embedding
- dimensionality reduction
- manifold learning
- low dimensional
- high dimensional
- high dimensional data
- laplacian eigenmaps
- diffusion maps
- maximum variance unfolding
- feature mapping
- dimensional data
- principal component analysis
- dimensionality reduction methods
- subspace learning
- principal components analysis
- data analysis
- underlying manifold
- triangular mesh
- feature space
- machine learning
- data sets
- random projections
- geodesic distance