lmaxDist_fast: (Fast) Chebyshev Distance
In Jakob-Bach/FastTSDistances: Fast dissimilarity computations for time series
Description
Usage
Arguments
Value
See Also
Description
Computes the standard Chebyshev distance (maximum metric) with a fast C++
implementation.
Usage
1
lmaxDist_fast(x, y)
Arguments
x
1st numeric vector/time series.
y
2nd numeric vector/time series.
Value
The distance as double.
See Also
Other L_p distances: l1DistMult_fast,
l1Dist_fast, l2DistMult_fast,
l2Dist_fast, l2Dist,
l2Norm_fast,
lmaxDistMult_fast
Jakob-Bach/FastTSDistances documentation built on May 13, 2019, 1:15 p.m.
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Description Usage Arguments Value See Also
Description
Computes the standard Chebyshev distance (maximum metric) with a fast C++ implementation.
Usage
1 | lmaxDist_fast(x, y)
|
Arguments
x |
1st numeric vector/time series. |
y |
2nd numeric vector/time series. |
Value
The distance as double.
See Also
Other L_p distances: l1DistMult_fast,
l1Dist_fast, l2DistMult_fast,
l2Dist_fast, l2Dist,
l2Norm_fast,
lmaxDistMult_fast
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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