Discretizes a time series with SAX via sliding window.
sax_via_window(ts, w_size, paa_size, a_size, nr_strategy, n_threshold)
the input timeseries.
the sliding window size.
the PAA size.
the alphabet size.
the Numerosity Reduction strategy, acceptable values are "exact" and "mindist" -- any other value triggers no numerosity reduction.
the normalization threshold.
Lonardi, S., Lin, J., Keogh, E., Patel, P., Finding motifs in time series. In Proc. of the 2nd Workshop on Temporal Data Mining (pp. 53-68). (2002)