With the data about designs collected and a seed design generated, the optimization proceeds via the mathematical framework presented above (Background). At the end of the optimization, HiMap outputs the final optimization criteria (Eq. 8), the leverages of the edges (Eq. 6), images of the final optimal designs, CSV files that specify the final edges and similarities, and JSON files of the clusters. Finally, the data frame of the optimal design and associated data can be imported from R into the python API for further manipulation.