ERing {mlmts}

ERing

Description

Multivariate time series (MTS) indicating the movement of the worm Caenorhabditis elegans. The motion of worms in an agar plate is recorded as a combination of six base shapes.

Usage

data(ERing)

Format

A list with two elements, which are:

data

A list with 300 MTS.

classes

A numeric vector indicating the corresponding classes associated with the elements in data.

Details

Each element in data is a matrix formed by 65 rows (time points) indicating time measurements and 4 columns (variables) indicating electrodes. The first 30 elements correspond to the training set, whereas the last 270 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 6, indicating that there are 6 different classes in the database. Each class is associated with a different posture of the hand. For more information, see Bagnall et al. (2018).

References

Bagnall A, Dau HA, Lines J, Flynn M, Large J, Bostrom A, Southam P, Keogh E (2018). “The UEA multivariate time series classification archive, 2018.” arXiv preprint arXiv:1811.00075.

Ruiz AP, Flynn M, Large J, Middlehurst M, Bagnall A (2021). “The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.” Data Mining and Knowledge Discovery, 35(2), 401–449.

Bagnall A, Lines J, Vickers W, Keogh E (2022). “The UEA & UCR Time Series Classification Repository.” www.timeseriesclassification.com.