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Methods for representations (i.e. dimensionality reduction, preprocessing, feature extraction) of time series to help more accurate and effective time series data mining. Nondata adaptive, data adaptive, modelbased and data dictated (clipped) representation methods are implemented. Also minmax and zscore normalisations, and forecasting accuracy measures are implemented.
Package details 


Author  Peter Laurinec [aut, cre] 
Date of publication  20180126 12:12:21 UTC 
Maintainer  Peter Laurinec <[email protected]> 
License  GPL3  file LICENSE 
Version  1.0.0 
URL  https://petolau.github.io/package/ https://github.com/PetoLau/TSrepr/ 
Package repository  View on CRAN 
Installation 
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