Figure 1.

The carotta pipeline consists of several steps: (1) import of pre-processed data (see Section 2); (2) similarity calculation; (3) clustering; (4) clustering quality; (5) similarity or clustering visualization; (6) subset selection. Intermediate results of Steps 2–4 can be inspected, optimized and repeated at an arbitrary depth.