Non Linear Dimension Reduction of Dynamic Model Output.
Claire-Eleuthèriane GerrerSylvain GirardPublished in: Modelica (2019)
Keyphrases
- dimension reduction
- dynamic model
- principal component analysis
- experimental data
- feature extraction
- high dimensional
- low dimensional
- high dimensional data
- singular value decomposition
- random projections
- control scheme
- high dimensional problems
- variable selection
- high dimensionality
- manifold learning
- feature space
- feature selection
- linear discriminant analysis
- dimensionality reduction
- input data
- cluster analysis
- pattern recognition
- unsupervised learning
- nearest neighbor
- face recognition
- machine learning