PenDigits {mlmts}

PenDigits

Description

Multivariate time series (MTS) indicating writing of 44 people drawing the digits from 0 to 9. Each instance is made up of the x and y coordinates of the pen-tip traced accross a digital screen.

Usage

data(PenDigits)

Format

A list with two elements, which are:

data

A list with 10992 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 8 rows (time points) spatial points and 2 columns (variables) indicating coordinate. The first 7494 elements correspond to the training set, whereas the last 3498 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 10, indicating that there are 10 different classes in the database. Each class is associated with a different digit. 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.