Multicriterion clusterwise regression for joint segmentation settings: an app…

The authors present a multicriterion clusterwise linear regression model that can be applied to a joint segmentation setting. The model enables the consideration of segment homogeneity, as well as multiple dependent variables (segmentation bases), in a weighted objective function. The authors propose an SA heuristic solution strategy based on simulated annealing and examine trade-offs in the re…