repr_feaclip: FeaClip representation of time series

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/RcppExports.R

Description

The repr_feaclip computes representation of time series based on feature extraction from bit-level (clipped) representation.

Usage

1

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

1

TSrepr documentation built on July 13, 2020, 9:07 a.m.