TSrepr (version 1.0.4)

clipping: Creates bit-level (clipped representation) from a vector

Description

The clipping computes bit-level (clipped representation) from a vector.

Usage

clipping(x)

Arguments

x

the numeric vector (time series)

Value

the integer vector of zeros and ones

Details

Clipping transforms time series to bit-level representation.

It is defined as follows: $$repr_t = {1 if x_t > \mu , 0 otherwise,}$$ where \(x_t\) is a value of a time series and \(\mu\) is average of a time series.

References

Bagnall A, Ratanamahatana C, Keogh E, Lonardi S, Janacek G (2006) A bit level representation for time series data mining with shape based similarity. Data Mining and Knowledge Discovery 13(1):11-40

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

trending

Examples

Run this code
# NOT RUN {
clipping(rnorm(50))

# }

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