Random subsampling is a variant of bootstrapping in which fewer observations than were used are combined for each bootstrap calculation. For example, if there were 20 replicas performed in total, bootstrapping would mean each resample would be of size 20 (replicas), whilst random subsampling would be of size N, where N can be any integer value between 1 and 19.