simple_fast: Compute the join similarity for Sound data

In franzbischoff/tsmp: Time Series with Matrix Profile

Description

Compute the join similarity for Sound data

Usage

simple_fast(
  ...,
  window_size,
  exclusion_zone = getOption("tsmp.exclusion_zone", 1/2),
  verbose = getOption("tsmp.verbose", 2)
)

Arguments

...	a matrix of numeric, where each column is a time series. Accepts list and data.frame too. If a second time series is supplied it will be a join matrix profile.
window_size	an int with the size of the sliding window.
exclusion_zone	a numeric. Size of the exclusion zone, based on window size (default is 1/2).
verbose	an int. See details. (Default is 2).

Details

verbose changes how much information is printed by this function; 0 means nothing, 1 means text, 2 adds the progress bar, 3 adds the finish sound.

Value

Returns a SimpleMatrixProfile object, a list with the matrix profile mp, profile index pi, number of dimensions n_dim, window size w and exclusion zone ez.

References

• Silva D, Yeh C, Batista G, Keogh E. Simple: Assessing Music Similarity Using Subsequences Joins. Proc 17th ISMIR Conf. 2016;23-30.

• Silva DF, Yeh C-CM, Zhu Y, Batista G, Keogh E. Fast Similarity Matrix Profile for Music Analysis and Exploration. IEEE Trans Multimed. 2018;14(8):1-1.

Website: https://sites.google.com/view/simple-fast

Website: https://sites.google.com/site/ismir2016simple/home

Examples

w <- 30
data <- mp_toy_data$data # 3 dimensions matrix
result <- simple_fast(data, window_size = w, verbose = 0)

franzbischoff/tsmp documentation built on March 9, 2020, 6:01 a.m.