| repr_feaclip {TSrepr} | R Documentation |
FeaClip representation of time series
Description
The repr_feaclip computes representation of time series based on feature extraction from bit-level (clipped) representation.
Usage
repr_feaclip(x)
Arguments
x |
the numeric vector (time series) |
Details
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 \} .
Value
the numeric vector of length 8
Author(s)
Peter Laurinec, <tsreprpackage@gmail.com>
References
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
See Also
repr_featrend, repr_feacliptrend
Examples
repr_feaclip(rnorm(50))