In this section two methods for unsupervised structure-finding are introduced. The first, Clustering, requires some kind of distance measure between the variables for finding similar entities which are then grouped into ``clusters''. The second, mask analysis, needs an ordered support (time, 1-dim space) over which it aims to detect behavior-patterns in the other variables.