tsmp (version 0.3.1)

fluss: Fast Low-cost Unipotent Semantic Segmentation (FLUSS)

Description

FLUSS is a Domain Agnostic Online Semantic Segmentation that uses the assumption that when few arc are crossing a given index point, means that there is a high probability of semantic change. This function is a wrap to fluss_cac() and fluss_extract().

Usage

fluss(.mp, num_segments, exclusion_zone = NULL)

Arguments

.mp

a TSMP object of class MatrixProfile.

num_segments

an int. Number of segments to extract. Based on domain knowledge.

exclusion_zone

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

Value

Returns the input .mp object new names: cac, corrected arc count and fluss with the location of semantic changes.

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<U+2013>26.

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

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

See Also

Other Semantic Segmentations: fluss_cac, fluss_extract, fluss_score

Examples

# NOT RUN {
data <- mp_fluss_data$tilt_abp$data[1:1000]
w <- 10
mp <- tsmp(data, window_size = w, verbose = 0)
mp <- fluss(mp, 2)
# }