| av_zerocrossing {tsmp} | R Documentation | 
Computes the annotation vector that favors number of zero crossing
Description
Computes the annotation vector that favors number of zero crossing
Usage
av_zerocrossing(.mp, data, apply = FALSE)
Arguments
| .mp | a Matrix Profile object. | 
| data | a  | 
| apply | logical. (Default is  | 
Value
Returns the input .mp object with an 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_apply(),
av_complexity(),
av_hardlimit_artifact(),
av_motion_artifact(),
av_stop_word()
Examples
data <- mp_test_data$train$data[1:1000]
w <- 50
mp <- tsmp(data, window_size = w, verbose = 0)
av <- av_zerocrossing(mp, apply = TRUE)
[Package tsmp version 0.4.15 Index]