compDistTwoTSLists: Compression-/Complexity-based Dissimilarity for Two Lists
In Jakob-Bach/FastTSDistances: Fast dissimilarity computations for time series
Description
Usage
Arguments
Value
Description
Version of compDistTSList which computes the compression-/
complexity-based dissimilarity from each time series of the first list to
each time series of the second list.
Usage
1
compDistTwoTSLists(tsList1, tsList2, symbolLimits)
Arguments
tsList1
A list of numeric vectors/matrixes (uni- or multi-variate
time series).
tsList2
A list of numeric vectors/matrixes (uni- or multi-variate
time series). Should have the same data structure as the first parameter.
symbolLimits
Interval boundaries which will be used to convert the
time series to a SAX representation. Should be a monotonically increasing
vector starting with -Inf and ending with +Inf.
Value
The dissimilarity matrix with each entry being a numeric from the
range [0,1].
Jakob-Bach/FastTSDistances documentation built on May 13, 2019, 1:15 p.m.
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Description Usage Arguments Value
Description
Version of compDistTSList which computes the compression-/
complexity-based dissimilarity from each time series of the first list to
each time series of the second list.
Usage
1 | compDistTwoTSLists(tsList1, tsList2, symbolLimits)
|
Arguments
tsList1 |
A list of numeric vectors/matrixes (uni- or multi-variate time series). |
tsList2 |
A list of numeric vectors/matrixes (uni- or multi-variate time series). Should have the same data structure as the first parameter. |
symbolLimits |
Interval boundaries which will be used to convert the time series to a SAX representation. Should be a monotonically increasing vector starting with -Inf and ending with +Inf. |
Value
The dissimilarity matrix with each entry being a numeric from the range [0,1].
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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