We use principal component analysis to transform the set of streamlines into a low-dimensional Euclidean space. In this space the streamlines are clustered into major trends, and each cluster is in turn approximated by a multivariate Gaussian distribution.
Streamline Variability Plots for Characterizing the Uncertainty in Vector Field Ensembles