manyseries_to_wordbag

data

w_size

paa_size

a_size

nr_strategy

n_threshold

<p>Converts a set of time-series into a single bag of words.</p>

Implements time series z-normalization, SAX, HOT-SAX, VSM, SAX-VSM, RePair, and RRA
algorithms facilitating time series motif (i.e., recurrent pattern), discord (i.e., anomaly),
and characteristic pattern discovery along with interpretable time series classification.

Pavel Senin

jmotif

Time Series Analysis Toolkit Based on Symbolic Aggregate
Discretization, i.e. SAX

manyseries_to_wordbag function

Converts a set of time-series into a single bag of words. — manyseries_to_wordbag

Converts a set of time-series into a single bag of words.

manyseries_to_wordbag: Converts a set of time-series into a single bag of words.

Description

Usage

Arguments

References