Case study data | Stratification | Two-step clustering | General approach

Introduction | Data generation | Data settings | Method settings | Specfying the KmL method | Specifying the GCKM method | Evaluating the settings | Analyzing the results | Recovery of the number of clusters | Trajectory assignment agreement | Residual error

Initial data exploration | Identifying the number of clusters | Investigating the preferred model | Model adequacy | Parametric trajectory clustering | Comparison to the reference