Spline Embedding for Nonlinear Dimensionality Reduction.
Shiming XiangFeiping NieChangshui ZhangChunxia ZhangPublished in: ECML (2006)
Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- dimensionality reduction
- maximum variance unfolding
- high dimensional data
- laplacian eigenmaps
- low dimensional
- b spline
- riemannian manifolds
- least squares
- locally linear embedding
- embedding space
- control points
- feature mapping
- feature space
- signal processing
- nearest neighbor
- data sets
- dimension reduction
- knn
- random projections
- high dimensional
- data analysis