PEMS_SF_1 {mlmts} | R Documentation |
PEMS_SF_1
Description
Multivariate time series (MTS) indicating occupancy rate of different car lanes.
Usage
data(PEMS_SF_1)
Format
A list
with two elements, which are:
data
A list with 220 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 144 rows (time points) indicating minutes and 3 columns (variables) indicating sensors.
The first 220 elements
of the whole dataset are stored here. All these elements pertain to the training set. The numeric vector classes
is formed
by integers from 1 to 7, indicating that there are 7 different classes in the database. Each class is associated with a different
day of the week. For more information, see Bagnall et al. (2018).
Run "install.packages("ueadata7", repos="https://anloor7.github.io/drat")"
to access this dataset and use the syntax "ueadata7::PEMS_SF_1".
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.