Detection of Causal Relations in Time Series Affected by Noise in Tokamaks Using Geodesic Distance on Gaussian Manifolds.
Andrea MurariTeddy CraciunescuEmmanuele PelusoMichela GelfusaJ. E. T. ContributorsPublished in: Entropy (2017)
Keyphrases
- causal relations
- geodesic distance
- euclidean space
- manifold learning
- riemannian manifolds
- geometric structure
- causal models
- euclidean distance
- fisher information
- causal relationships
- gaussian mixture
- face recognition
- noise level
- shortest path
- feature space
- shape analysis
- distance transform
- metric space
- image features
- knn
- data points
- data mining
- data sets