Avoiding unwanted results in locally linear embedding: A new understanding of regularization.
Liren LinPublished in: CoRR (2021)
Keyphrases
- locally linear embedding
- nonlinear dimensionality reduction
- dimensionality reduction
- manifold learning
- high dimensional data
- low dimensional
- pairwise
- laplacian eigenmaps
- high dimensional
- principal component analysis
- feature selection
- learning algorithm
- computer vision
- semi supervised
- image classification
- principal components