lmaxDistMult_fast: (Fast) Multi-variate Chebyshev Distance
In Jakob-Bach/FastTSDistances: Fast dissimilarity computations for time series
Description
Usage
Arguments
Value
References
See Also
Description
Computes the standard Chebyshev distance (maximum metric) between
multi-variate time series (according toKotsakos, Trajcevski, Gunopulos and
Aggarwal (2014)) with a fast C++ implementation.
Usage
1
lmaxDistMult_fast(x, y)
Arguments
x
1st numeric matrix/multi-variate time series.
y
2nd numeric matrix/multi-variate time series.
Value
The distance as double.
References
Kotsakos, D., Trajcevski, G., Gunopulos, D. & Aggarwal, C. C. (2014). Time-series
data clustering. In C. C. Aggarwal & C. K. Reddy (Eds.), Data clustering :
Algorithms and applications (pp. 357–380). Chapman & Hall/CRC data mining and
knowledge discovery series. Boca Raton: CRC Press.
See Also
Other L_p distances: l1DistMult_fast,
l1Dist_fast, l2DistMult_fast,
l2Dist_fast, l2Dist,
l2Norm_fast, lmaxDist_fast
Jakob-Bach/FastTSDistances documentation built on May 13, 2019, 1:15 p.m.
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Description Usage Arguments Value References See Also
Description
Computes the standard Chebyshev distance (maximum metric) between multi-variate time series (according toKotsakos, Trajcevski, Gunopulos and Aggarwal (2014)) with a fast C++ implementation.
Usage
1 | lmaxDistMult_fast(x, y)
|
Arguments
x |
1st numeric matrix/multi-variate time series. |
y |
2nd numeric matrix/multi-variate time series. |
Value
The distance as double.
References
Kotsakos, D., Trajcevski, G., Gunopulos, D. & Aggarwal, C. C. (2014). Time-series data clustering. In C. C. Aggarwal & C. K. Reddy (Eds.), Data clustering : Algorithms and applications (pp. 357–380). Chapman & Hall/CRC data mining and knowledge discovery series. Boca Raton: CRC Press.
See Also
Other L_p distances: l1DistMult_fast,
l1Dist_fast, l2DistMult_fast,
l2Dist_fast, l2Dist,
l2Norm_fast, lmaxDist_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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