Running connected components leaves dataframes cached in the spark runtime which can take up a substantial amount of memory when it is run many times. Specifically, the dfs in lastRoundPersistedDFs do not get cleaned up after convergence == true

Since the cached dataframe is not the one returned by the run method, the caller is unable to unpersist them without clearing all persisted dataframes.