EthanolConcentration: EthanolConcentration

In mlmts: Machine Learning Algorithms for Multivariate Time Series

EthanolConcentration

Description

Multivariate time series (MTS) indicating the concentration of ethanol of several water-and-ethanol solutions in 44 distinct, real-whisky bottles.

Usage

data(EthanolConcentration)

Format

A list with two elements, which are:

data

A list with 524 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 1751 rows (time points) indicating time measurements and 3 columns (variables) indicating recording. The first 261 elements correspond to the training set, whereas the last 263 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 4, indicating that there are 4 different classes in the database. Each class is associated with a different concentration of ethanol. For more information, see \insertCitebagnall2018uea;textualmlmts. Run "install.packages("ueadata1", repos="https://anloor7.github.io/drat")" to access this dataset and use the syntax "ueadata1::EthanolConcentration".

References

\insertRef

bagnall2018ueamlmts

\insertRef

ruiz2021greatmlmts

\insertRef

bagnallwebmlmts

mlmts documentation built on Sept. 11, 2024, 6:41 p.m.