Multiple Manifold Learning by Nonlinear Dimensionality Reduction.
Juliana Valencia-AguirreAndrés Marino Álvarez-MezaGenaro Daza-SantacolomaCarlos Daniel Acosta-MedinaCésar Germán Castellanos-DomínguezPublished in: CIARP (2011)
Keyphrases
- manifold learning
- nonlinear dimensionality reduction
- diffusion maps
- low dimensional
- dimensionality reduction
- laplacian eigenmaps
- semi supervised
- high dimensional data
- high dimensional
- feature mapping
- locally linear embedding
- subspace learning
- dimension reduction
- geodesic distance
- feature extraction
- sparse representation
- principal component analysis
- data sets
- dimensionality reduction methods
- manifold structure
- knn
- data mining