I was wondering if there are established rules of thumb (or algorithms) that, given a set of observations can help:
- choose an initial number of class intervals.
- refine that choice to a better number.
I could find talk of using square-root(N), where N is the number of observations as an initial guess of the number of class intervals.
Thanks in advance.