On Koopman and dynamic mode decompositions for application to dynamic data with low spatial dimension.
Fredrik RaakYoshihiko SusukiIgor MezicTakashi HikiharaPublished in: CDC (2016)
Keyphrases
- spatial data
- end users
- data sources
- prior knowledge
- database
- data mining techniques
- raw data
- data analysis
- data structure
- training data
- data sets
- complex data
- temporal dimension
- original data
- temporal information
- experimental data
- temporal dependencies
- data collection
- statistical analysis
- data points
- dynamic environments
- synthetic data
- data processing
- dimensionality reduction
- image data
- knowledge discovery
- data objects
- data quality
- spatial databases
- high dimensional
- spatial correlation
- high quality
- neural network
- high energy