Model-based clustering of large networks

Mathematics

• Model-based Clustering 100%
• Framework 38%
• Standard error 34%
• Network Simulation 27%
• Variational Approximation 23%
• Parsimony 22%
• Finite Mixture Models 22%
• Parametric Bootstrap 21%
• Estimation Algorithms 21%
• Large Data Sets 20%
• Vertex of a graph 19%
• EM Algorithm 18%
• Error Estimation 18%
• Exponential Family 18%
• Clustering 15%
• Approximation Algorithms 14%
• Monte Carlo Simulation 14%
• Error Estimates 13%
• Model 11%
• Modeling 10%
• Demonstrate 10%

Business & Economics

• Clustering 61%
• Standard Error 30%
• Node 25%
• Exponential Family 20%
• Parametric Bootstrap 20%
• Finite Mixture Models 19%
• EM Algorithm 19%
• Parsimony 18%
• Approximation 11%
• Usefulness 10%
• Simulation 9%
• Modeling 7%

Engineering & Materials Science

• Parameterization 17%
• Model structures 17%
• Error analysis 15%