Manifold learning with approximate nearest neighbors.
Fan ChengRob J. HyndmanAnastasios PanagiotelisPublished in: CoRR (2021)
Keyphrases
- manifold learning
- approximate nearest neighbor
- high dimensional spaces
- low dimensional
- high dimensional
- nearest neighbor search
- nearest neighbor
- high dimensional data
- dimensionality reduction
- locality sensitive hashing
- dimension reduction
- semi supervised
- feature extraction
- data points
- feature space
- high dimensionality
- knn
- image matching
- data sets
- pattern recognition
- data distribution
- sparse representation
- euclidean distance
- multi dimensional
- vector space
- similarity search
- pairwise
- k nearest neighbor
- data analysis
- space efficient
- principal component analysis
- signal processing