Figure 5. Visualization of spectral clustering of risk score trajectories, for a simple example with two clusters.

Risk score trajectories (A) are clustered by using distances between trajectories (B) to project the data into a space in which they are easily separable (C). K-means clustering of the data in this new space yields clusters of risk scores (D).