[R] Any Unsupervised Learning Algorithm for Time Series Forecasting in R
bgunter@4567 @end|ng |rom gm@||@com
Wed Jun 20 18:30:51 CEST 2018
Depending on exactly what you mean by"unsupervised", many.
See here under "Decomposition and filtering":
You could also search on something like "smooth time series R" etc.
However, assuming I have correcty interpreted "unsupervised algorithm," be
aware that extrapolating from such smoothed historical data can be
problematic precisely because no structure/model has been specified. See
here for some further background and R functions:
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Wed, Jun 20, 2018 at 9:00 AM, Paul Bernal <paulbernal07 using gmail.com> wrote:
> Dear friends,
> Hope you are all doing great. I would like to know if R has any
> unsupervised algorithm to generate forecasts for historical data.
> Any help will be greatly appreciated,
> Best regards,
> [[alternative HTML version deleted]]
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> PLEASE do read the posting guide http://www.R-project.org/
> and provide commented, minimal, self-contained, reproducible code.
[[alternative HTML version deleted]]
More information about the R-help