Data-driven, variational model reduction of high-dimensional reaction networks.
Markos A. KatsoulakisPedro VilanovaPublished in: J. Comput. Phys. (2020)
Keyphrases
- data driven
- high dimensional
- social networks
- low dimensional
- network structure
- network analysis
- network design
- feature space
- high dimensional data
- sparse data
- parameter space
- network size
- high dimensional datasets
- network topologies
- variable selection
- high dimensional problems
- complex systems
- gene expression data
- complex networks
- data sets
- multi modal
- nearest neighbor
- case study
- information retrieval
- data mining