Description Usage Arguments Details Value Author(s) References See Also Examples
The repr_feaclip
computes representation of time series based on feature extraction from bit-level (clipped) representation.
1 | repr_feaclip(x)
|
x |
the numeric vector (time series) |
FeaClip is method of time series representation based on feature extraction from run lengths (RLE) of bit-level (clipped) representation. It extracts 8 key features from clipped representation.
There are as follows:
repr = \{ max_1 - max. from run lengths of ones,
sum_1 - sum of run lengths of ones,
max_0 - max. from run lengths of zeros,
crossings - length of RLE encoding - 1,
f_0 - number of first zeros,
l_0 - number of last zeros,
f_1 - number of first ones,
l_1 - number of last ones \} .
the numeric vector of length 8
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_featrend, repr_feacliptrend
1 | repr_feaclip(rnorm(50))
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