Near Isometric Terminal Embeddings for Doubling Metrics.
Michael ElkinOfer NeimanPublished in: Algorithmica (2021)
Keyphrases
- manifold learning
- euclidean space
- low dimensional
- dimensionality reduction
- vector space
- distance measure
- database systems
- hilbert space
- bayesian networks
- database
- evaluation metrics
- evaluation criteria
- high dimensional data
- air cargo
- low dimensional spaces
- similarity metrics
- social networks
- genetic algorithm
- data mining