I have a data set of frequency samples (for example, bpm, or any other measure/time), taken at regular time intervals (say, every 5 minutes). I would like to find the smallest set of time intervals with the following properties:
- The intervals cover the entire original data-set
- No time interval has an average frequency below a given threshold
Are there any standard algorithms for figuring this sort of information out?
Unless I am mistaken: