Automatic dimensionality reduction of Twin-in-the-Loop Observers.
Giacomo DelcaroFederico DettùSimone FormentinSergio Matteo SavaresiPublished in: CoRR (2024)
Keyphrases
- dimensionality reduction
- high dimensional
- data representation
- low dimensional
- high dimensionality
- feature extraction
- high dimensional data
- semi automatic
- nonlinear dimensionality reduction
- real time
- manifold learning
- principal components
- feature space
- pattern recognition
- information systems
- feature vectors
- singular value decomposition
- machine learning
- preprocessing step
- search engine
- computer vision
- dimension reduction
- feature selection
- linear discriminant analysis
- fully automatic
- case study
- data structure
- data driven
- ground truth