Nonlinear Dimensionality Reduction using Approximate Nearest Neighbors.
Erion PlakuLydia E. KavrakiPublished in: SDM (2007)
Keyphrases
- nonlinear dimensionality reduction
- approximate nearest neighbor
- high dimensional spaces
- high dimensional data
- nearest neighbor
- low dimensional
- dimensionality reduction
- locality sensitive hashing
- nearest neighbor search
- manifold learning
- high dimensional
- locally linear embedding
- knn
- dimensionality reduction methods
- k nearest neighbor
- data points
- high dimensionality
- similarity search
- index structure
- database
- vector space
- input data
- data sets