flDerivativeDtwDistanceMatrix: Given two R density objects, calculates a distance matrix...
In mlux86/flowLearn: flowLearn
Description
Usage
Arguments
Value
Examples
Description
Given two R density objects, this method uses the Derivative Dynamic Time Warping distance to calculate a distance matrix which can be used for alignment with DTW.
Usage
1
flDerivativeDtwDistanceMatrix(densA, densB)
Arguments
densA
The first density object, such as from R's density function.
densB
The second density object, such as from R's density function.
Value
The Derivative Dynamic Time Warping distance matrix between densA and densB.
Examples
1
2
3
densA <- flGetDensity(flAt(flSampleDensdat, 42))
densB <- flGetDensity(flAt(flSampleDensdat, 43))
str(flDerivativeDtwDistanceMatrix(densA, densB))
mlux86/flowLearn documentation built on May 29, 2019, 5:43 a.m.
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Description Usage Arguments Value Examples
Description
Given two R density objects, this method uses the Derivative Dynamic Time Warping distance to calculate a distance matrix which can be used for alignment with DTW.
Usage
1 | flDerivativeDtwDistanceMatrix(densA, densB)
|
Arguments
densA |
The first density object, such as from R's density function. |
densB |
The second density object, such as from R's density function. |
Value
The Derivative Dynamic Time Warping distance matrix between densA and densB.
Examples
1 2 3 | densA <- flGetDensity(flAt(flSampleDensdat, 42))
densB <- flGetDensity(flAt(flSampleDensdat, 43))
str(flDerivativeDtwDistanceMatrix(densA, densB))
|
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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