Intrinsic dimensionality detection criterion based on Locally Linear Embedding.
Lian MengPiotr BreitkopfPublished in: Comput. Sci. (2018)
Keyphrases
- intrinsic dimensionality
- dimensionality reduction
- locally linear embedding
- nonlinear dimensionality reduction
- low dimensional
- principal component analysis
- high dimensional
- vector space
- noisy data
- feature selection
- high dimensional data
- laplacian eigenmaps
- manifold learning
- linear discriminant analysis
- probability density
- dimensionality reduction methods
- singular values
- probability density function
- singular value decomposition
- training data