A standard UCR Cylinder-Bell-Funnel dataset from http://www.cs.ucr.edu/~eamonn/time_series_data

datasets

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

CBF function

A four-elements list containing train and test data along with their labels<ul>
<li>labels_train: the training data labels, correspond to data matrix rows</li>
<li>data_train: the training data matrix, each row is a time series instance</li>
<li>labels_test: the test data labels, correspond to data matrix rows</li>
<li>data_test: the test data matrix, each row is a time series instance</li>
</ul>

CBF: A standard UCR Cylinder-Bell-Funnel dataset from http://www.cs.ucr.edu/~eamonn/time_series_data

Description

Usage

Arguments

Format