CrossLabFit: A novel framework for integrating qualitative and quantitative data across multiple labs for model calibration
Fig 2
Building feasible window constraints.
Panels (a)-(d) show the four synthetic datasets (B1-B4) with different frequencies, replicates, and deviation. Panel (e) shows the datasets merged in a normalized space, where the grid shows the number of vertical cells determined by clustering the X3 value and the number of horizontal cells is determined by clustering the time dataset. The feasible windows are chosen according to the maximum number of points between cells in the same column.