tsmp (version 0.4.15)

fluss_cac: FLUSS - Corrected Arc Counts

Description

Computes the arc count with edge correction (CAC).

Usage

fluss_cac(.mp, exclusion_zone = NULL)

Value

Returns the input .mp object a new name cac with the corrected arc count.

Arguments

.mp

a MatrixProfile object.

exclusion_zone

if a number will be used instead of embedded value. (Default is NULL).

Details

Original paper suggest using the classic statistical-process-control heuristic to set a threshold where a semantic change may occur in CAC. This may be useful in real-time implementation as we don't know in advance the number of domain changes to look for. Please check original paper (1).

References

• Gharghabi S, Ding Y, Yeh C-CM, Kamgar K, Ulanova L, Keogh E. Matrix Profile VIII: Domain Agnostic Online Semantic Segmentation at Superhuman Performance Levels. In: 2017 IEEE International Conference on Data Mining (ICDM). IEEE; 2017. p. 117-26.

Website: https://sites.google.com/site/onlinesemanticsegmentation/

Website: http://www.cs.ucr.edu/~eamonn/MatrixProfile.html

See Also

Other Semantic Segmentations: floss_cac(), floss_extract(), floss(), fluss_extract(), fluss_score(), fluss()

Examples

data <- mp_fluss_data$tilt_abp$data[1:1000]
w <- 10
mp <- tsmp(data, window_size = w, verbose = 0)
mp <- fluss_cac(mp)