Comparison of linearization and graph clustering methods for uncertainty quantification of large scale dynamical systems

Computer Science

• Clustering Algorithm 100%
• Spectral Clustering 100%
• Graph Clustering Method 100%
• Computational Method 50%
• System Dynamics 50%
• Contributing Factor 50%
• State Variable 50%
• Complex Networks 50%
• Clustering Method 50%
• Clustering Technique 50%
• Underlying System 50%
• Conventional Method 50%
• Computational Time 50%
• nonnegative matrix factorization 50%
• Matrix Factorization 50%

Keyphrases

• Linearization 100%
• Uncertainty Quantification 100%
• Graph Clustering Algorithms 100%
• Large-scale Dynamical Systems 100%
• Coupled Subsystems 42%
• Weakly Coupled 42%
• Clustering Methods 28%
• Spectral Clustering 28%
• Non-negative Matrix Factorization 28%
• Statistical Analysis 14%
• Computational Methods 14%
• Cluster-based 14%
• Clustering Algorithm 14%
• Computation Time 14%
• Coupled Oscillators 14%
• Complex Networks 14%
• Networked Systems 14%
• New Metric 14%
• Linearization Techniques 14%
• Model Complex 14%
• Graph Network 14%
• Space Domain 14%
• Nonlinear Dynamic System 14%
• Decomposition Framework 14%

Engineering

• Uncertainty Quantification 100%
• Clustering Algorithm 28%
• Matrix Factorization 28%
• Nodes 14%
• Time Domain 14%
• Computational Time 14%
• Metrics 14%
• Conventional Method 14%
• State Variable 14%
• Non-Linear Dynamic 14%
• Complex Networks 14%
• Complex Model 14%