Description Usage Arguments Value References See Also
Multi-variate version of pdcDistTwoTS
which calculates the pdc
distance for each attribute and then takes the l2 norm of the resulting vector
as proposed by Brandmaier (2011, p. 18).
1 | pdcDistTwoTSMult(x, y, subSequenceLength = NULL)
|
x |
1st numeric matrix (multi-variate time series; minimum number of rows: 2). |
y |
2nd numeric matrix (multi-variate time series; minimum number of rows: 2; needs to have the same number of columns as the first time series). |
subSequenceLength |
Number of elements which form each subsequence. Will be determined as integer in [2,7] by a heuristic if not provided. |
The distance as double from the range [0,4*attributeCount].
Brandmaier, A. M. (2011). Permutation distribution clustering and structural equation model trees (Doctoral dissertation, Universität des Saarlandes, Saarbrücken).
Brandmaier, A. M. (2015). pdc: An R Package for Complexity-Based Clustering of Time Series. Journal of Statistical Software, 67(5), 1-23.
Other PDC functions: pdcDistTSListMult
,
pdcDistTSList
, pdcDistTwoTS
,
pdcEntropyHeuristicMult
,
pdcEntropyHeuristic
,
pdcEntropy
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