sax_via_window: Discretizes a time series with SAX via sliding window.

Description Usage Arguments References

View source: R/RcppExports.R

Description

Discretizes a time series with SAX via sliding window.

Usage

1
sax_via_window(ts, w_size, paa_size, a_size, nr_strategy, n_threshold)

Arguments

ts

the input timeseries.

w_size

the sliding window size.

paa_size

the PAA size.

a_size

the alphabet size.

nr_strategy

the Numerosity Reduction strategy, acceptable values are "exact" and "mindist" – any other value triggers no numerosity reduction.

n_threshold

the normalization threshold.

References

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)


jmotif documentation built on March 26, 2020, 7:23 p.m.