Improving Metric Dimensionality Reduction with Distributed Topology.
Alexander WagnerElchanan SolomonPaul BendichPublished in: CoRR (2021)
Keyphrases
- dimensionality reduction
- metric learning
- distributed systems
- metric space
- high dimensional
- principal component analysis
- low dimensional
- data representation
- neural network
- manifold learning
- distance measure
- dimensionality reduction methods
- evaluation metrics
- distributed environment
- high dimensionality
- distance metric
- mobile agents
- mobile robot
- pairwise
- cooperative
- multi agent
- feature selection
- wireless sensor networks
- feature space
- pattern recognition
- feature extraction
- similarity metric
- random projections