Compute an anomaly score for multivariate time series based on the k-nearest neighbors algorithm. Different computations of distances between time series are provided.
This Package helps to compute anomaly scores for multivariate time series. The scores are defined based on a KNN algorithm using different approaches to determine distances between time series.
The last version of the package can be installed via two options,
From CRAN: https://cran.r-project.org/package=AnomalyScore
install.packages("AnomalyScore")
From GitHub:
devtools::install_github("Cuauhtemoctzin/AnomalyScore")
Originally developed for the Net0i project.
The development of this package was supported by the UK Research and Innovation (UKRI) Engineering and Physical Sciences Research Council (EPSRC) under the project titled "Reducing End Use Energy Demand in Commercial Settings Through Digital Innovation," grant number EP/T025964/1.