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Computes the Minkowski distance between two numeric vectors for a given p.
● Data Source:
CranContrib
● Keywords:
● Alias: MinkowskiDistance
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Computes the dissimilarity between a pair of numeric time series based on their estimated autocorrelation coefficients.
● Data Source:
CranContrib
● Keywords:
● Alias: ACFDistance
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The dissimilarity of two numerical series of the same length is calculated based on the L1 distance between the kernel estimators of their forecast densities at a given time horizon.
● Data Source:
CranContrib
● Keywords:
● Alias: PredDistance
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Calculates the dissimilarity between two numerical series based on the distance between their SAX representations.
● Data Source:
CranContrib
● Keywords:
● Alias: MindistSaxDistance
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Computes the distance measure based on the cross-correlation between a pair of numeric time series.
● Data Source:
CranContrib
● Keywords:
● Alias: CCorDistance
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Computes the dissimilarity between two numeric time series in terms of their Linear Predictive Coding (LPC) ARIMA processes.
● Data Source:
CranContrib
● Keywords:
● Alias: ARLPCCepsDistance
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Computes the dissimilarity between a pair of numeric time series based on their estimated partial autocorrelation coefficients.
● Data Source:
CranContrib
● Keywords:
● Alias: PACFDistance
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TSdist distance matrix computation for time series databases.
● Data Source:
CranContrib
● Keywords:
● Alias: TSDatabaseDistances
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Computes the distance between a pair of numerical series based on their Discrete Fourier Transforms.
● Data Source:
CranContrib
● Keywords:
● Alias: FourierDistance
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Calculates the dissimilarity between two numerical series of the same length based on the distance between their periodograms.
● Data Source:
CranContrib
● Keywords:
● Alias: PerDistance
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providing 
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