pdcDistTwoTSListsMult: Multi-variate Permutation Distribution Distance for Two Lists...

In Jakob-Bach/FastTSDistances: Fast dissimilarity computations for time series

Description

Version of pdcDistTSListMult which computes the PDC distance from each time series of the first list to each time series of the second list.

Usage

pdcDistTwoTSListsMult(tsList1, tsList2, subSequenceLength = NULL)

Arguments

tsList1	A list of numeric matrixes (multi-variate time series). Each time series should have at least two elements.
tsList2	A list of numeric metrixes (multi-variate time series). Each time series should have at least two elements and the same number of attributes as the series from the first list. Is used for the entropy heuristic if no subSequenceLength is provided.
subSequenceLength	Number of elements which form each subsequence. Will be determined as integer in [2,7] by a heuristic if not provided.

Value

The distance matrix with each entry being a numeric from the range [0,4*attributeCount].

Jakob-Bach/FastTSDistances documentation built on May 13, 2019, 1:15 p.m.