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Fig. 9 | BMC Bioinformatics

Fig. 9

From: Multi-scale visual analysis of time-varying electrocorticography data via clustering of brain regions

Fig. 9

The figure shows evolution patterns underlying our generated dataset which we use to test and evaluate our approach. Color indicates the cluster configuration at each timestep and the opacities of the glyphs its electrical activity. a Categorizing different temporal states, i.e., unactivated (View 1), transitional (View 2), activated (View 3). b Evolution of the cluster assignment changes through the cluster evolution view, stable cluster configuration from timestep intervals (0–10) and (20–30), and, random unstable assignment over timestep interval (10–20). c Detailed analysis of a time interval selected in the cluster evolution view, activation patterns can be seen in the lower-right corner of the views for the timestep interval (10, 11)

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