series_to_wordbag: Converts a single time series into a bag of words.

In jMotif/jmotif-R: Time Series Analysis Toolkit Based on Symbolic Aggregate Discretization, i.e. SAX

Converts a single time series into a bag of words.

Description

Converts a single time series into a bag of words.

Usage

series_to_wordbag(ts, w_size, paa_size, a_size, nr_strategy, n_threshold)

Arguments

ts	the timeseries.
w_size	the sliding window size.
paa_size	the PAA size.
a_size	the alphabet size.
nr_strategy	the NR strategy.
n_threshold	the normalization threshold.

References

Senin Pavel and Malinchik Sergey, SAX-VSM: Interpretable Time Series Classification Using SAX and Vector Space Model. Data Mining (ICDM), 2013 IEEE 13th International Conference on, pp.1175,1180, 7-10 Dec. 2013.

Salton, G., Wong, A., Yang., C., A vector space model for automatic indexing. Commun. ACM 18, 11, 613-620, 1975.

jMotif/jmotif-R documentation built on Sept. 27, 2022, 4:31 p.m.