Nonlinear Dimensionality Reduction with Local Spline Embedding.
Shiming XiangFeiping NieChangshui ZhangChunxia ZhangPublished in: IEEE Trans. Knowl. Data Eng. (2009)
Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- laplacian eigenmaps
- dimensionality reduction
- high dimensional data
- low dimensional
- maximum variance unfolding
- least squares
- b spline
- feature mapping
- riemannian manifolds
- dimensionality reduction methods
- control points
- locally linear embedding
- embedding space
- data analysis
- neural network
- principal component analysis