av_stop_word: Computes the annotation vector that suppresses stop-word...
In franzbischoff/tsmp: Time Series with Matrix Profile

Description Usage Arguments Details Value References See Also Examples

Computes the annotation vector that suppresses stop-word motifs

av_stop_word(
  .mp,
  data,
  stop_word_loc,
  exclusion_zone = NULL,
  threshold = 0.1,
  apply = FALSE
)

`.mp`	a Matrix Profile object.
`data`	a `vector` or a column `matrix` of `numeric`.
`stop_word_loc`	an `int`. The index of stop word location.
`exclusion_zone`	a `numeric`. Size of the exclusion zone, based on window_size (default is `NULL`). See details.
`threshold`	a `numeric`. (default is `0.1`).
`apply`	logical. (Default is `FALSE`). Applies the Annotation Vector over the Matrix Profile. Use with caution.

The function is intended to be generic. However, its parameters (stop_word_loc, exclusion_zone and threshold) are highly dataset dependent.

Returns the input .mp object with an embedded annotation vector.

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.

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

data <- mp_test_data$train$data[1:1000]
w <- 50
mp <- tsmp(data, window_size = w, verbose = 0)
av <- av_stop_word(mp, stop_word_loc = 150, apply = TRUE)