Documentation for using CURE with large datasets

I did not find any documentation for how to use CURE with large (2M+) datasets. Simply using the cure algorithm as is defined in cure.py is not feasible since the building of the queue and kd-tree itself will take significant time.

I noticed that there is a functionality for random sampling, added in response to a feature to include random sampling for CURE for this very reason. However I am not clear on how to use it.