Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping.
Amir NajafiAmir JoudakiEmad FatemizadehPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2016)
Keyphrases
- nonlinear dimensionality reduction
- manifold learning
- mapping function
- low dimensional
- dimensionality reduction
- high dimensional data
- laplacian eigenmaps
- high dimensional
- maximum variance unfolding
- subspace learning
- semi supervised
- feature extraction
- locally linear embedding
- euclidean space
- low dimensional manifolds
- dimensionality reduction methods
- dimension reduction
- riemannian manifolds
- data sets
- sparse representation
- random projections
- high dimensionality
- similarity search
- multi dimensional
- data mining
- neural network