Locally Linear Embedding versus Isotop.
John Aldo LeeCédric ArchambeauMichel VerleysenPublished in: ESANN (2003)
Keyphrases
- locally linear embedding
- dimensionality reduction
- manifold learning
- nonlinear dimensionality reduction
- low dimensional
- high dimensional
- high dimensional data
- laplacian eigenmaps
- dimensional data
- principal component analysis
- dimensionality reduction methods
- subspace learning
- triangular mesh
- principal components analysis
- orthogonal projection
- data points
- geodesic distance
- multi dimensional
- data representation
- euclidean space
- similarity search
- multi view
- training set
- pattern recognition
- feature selection