repr_feacliptrend {TSrepr} | R Documentation |
The repr_feacliptrend
computes representation of time series
based on feature extraction from bit-level representations (clipping and trending).
repr_feacliptrend(x, func, pieces = 2L, order = 4L)
x |
the numeric vector (time series) |
func |
the aggregation function for FeaTrend procedure (sumC or maxC) |
pieces |
the number of parts of time series to split |
order |
the order of simple moving average |
FeaClipTrend combines FeaClip and FeaTrend representation methods. See documentation of these two methods (check See Also section).
the numeric vector of frequencies of features
Peter Laurinec, <tsreprpackage@gmail.com>
Laurinec P, and Lucka M (2018) Interpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting. Data Mining and Knowledge Discovery. Springer. DOI: 10.1007/s10618-018-0598-2
repr_feacliptrend(rnorm(50), maxC, 2, 4)