When Locally Linear Embedding Hits Boundary.
Hau-Tieng WuNan WuPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- locally linear embedding
- dimensionality reduction
- nonlinear dimensionality reduction
- manifold learning
- high dimensional data
- low dimensional
- high dimensional
- laplacian eigenmaps
- dimensional data
- orthogonal projection
- object boundaries
- principal component analysis
- data sets
- data points
- feature space
- data analysis
- principal components analysis
- feature selection
- multi dimensional
- euclidean distance
- geodesic distance
- feature extraction
- data mining