av_apply: Corrects the matrix profile using an annotation vector

In tsmp: Time Series with Matrix Profile

Corrects the matrix profile using an annotation vector

Description

This function overwrites the current Matrix Profile using the Annotation Vector. Use with caution.

Usage

av_apply(.mp)

Arguments

.mp	A Matrix Profile with an Annotation Vector.

Value

Returns the input .mp object corrected by the embedded annotation vector.

References

• Dau HA, Keogh E. Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '17. New York, New York, USA: ACM Press; 2017. p. 125-34.

See Also

Other Annotation vectors: av_complexity(), av_hardlimit_artifact(), av_motion_artifact(), av_stop_word(), av_zerocrossing()

Examples

data <- mp_test_data$train$data[1:1000]
w <- 50
mp <- tsmp(data, window_size = w, verbose = 0)
mp <- av_complexity(mp)
av <- av_apply(mp)

tsmp documentation built on Aug. 21, 2022, 1:13 a.m.