Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Non-data adaptive, data adaptive, model-based and data dictated (clipped) representation methods are implemented. Also min-max and z-score normalisations, and forecasting accuracy measures are implemented.
|Author||Peter Laurinec [aut, cre] (<https://orcid.org/0000-0002-3501-8783>)|
|Maintainer||Peter Laurinec <[email protected]>|
|License||GPL-3 | file LICENSE|
|Package repository||View on CRAN|
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