Figure 1.

Aggregation scheme. Multivariate data is represented as a table of N rows and M columns, where each column can be of a different scale type. Rows and columns can be aggregated independently, resulting in hierarchies as indicated by the attached dendrograms. Aggregation of rows is applied column-wise, according to the respective scale type, while the aggregation of columns is only supported for compatible scale types. For example, the set of leaf nodes of v is a collection of rows Rv and the set of leaf nodes of w is a collection of columns. Aggregating v results in a new row with values determined using rows R1, R2, and R3 (red square). Similarly, aggregating w results in a new column Cw with values determined from columns C2 and C3 (green square). As a result of collapsing both v and w, the overlap of the red and green squares will be represented by only one cell.

Heinrich et al. BMC Bioinformatics 2012 13(Suppl 8):S2   doi:10.1186/1471-2105-13-S8-S2