When building out a matrix profile for a time series, what tests can be used to determine that both the bin size and window size are optimal?

I'm playing around with adapting matrix profiles to my time series data and I want to ensure that the data and parameters are set correctly.

I'm working with a month's worth of data placed into 5-minute bins (288 samples/day). I initially rebinned to 1-hour but I wasn't sure whether or not that might hide certain higher frequency patterns or if it would just make it too noisy.

I'm also attempting to tune the window_size parameter used by the STUMPY python …

building data datascience matrix playing profile profiles series set tests time series