Generative locally linear embedding: A module for manifold unfolding and visualization.
Benyamin GhojoghAli GhodsiFakhri KarrayMark CrowleyPublished in: Softw. Impacts (2021)
Keyphrases
- locally linear embedding
- manifold learning
- dimensionality reduction
- nonlinear dimensionality reduction
- laplacian eigenmaps
- low dimensional
- high dimensional
- high dimensional data
- dimensional data
- locally linear
- manifold learning algorithm
- data analysis
- principal component analysis
- generative model
- subspace learning
- locality preserving projections
- unsupervised learning
- diffusion maps
- geodesic distance
- principal components analysis
- data sets
- neighborhood preserving embedding
- underlying manifold
- manifold structure
- triangular mesh
- dimension reduction
- feature extraction
- computer vision
- euclidean space
- pattern recognition