IncDTW

Description

The Dynamic Time Warping (DTW) distance measure for time series allows non-linear alignments of time series to match similar patterns in time series of different lengths and or different speeds. IncDTW is characterized by (1) the incremental calculation of DTW (reduces runtime complexity to a linear level for updating the DTW distance) - especially for life data streams or subsequence matching, (2) the vector based implementation of DTW which is faster because no matrices are allocated (reduces the space complexity from a quadratic to a linear level in the number of observations) - for all runtime intensive DTW computations, (3) the subsequence matching algorithm runDTW, that efficiently finds the k-NN to a query pattern in a long time series, and (4) C++ in the heart. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>. For details about this package, Dynamic Time Warping and Incremental Dynamic Time Warping please see "IncDTW: An R Package for Incremental Calculation of Dynamic Time Warping" by Leodolter et al. (2021) <doi:10.18637/jss.v099.i09>.

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GNU make is a SystemRequirements.

  installed size is  7.6Mb
  sub-directories of 1Mb or more:
    libs   5.8Mb

GNU make is a SystemRequirements.

  installed size is  6.7Mb
  sub-directories of 1Mb or more:
    libs   4.9Mb

GNU make is a SystemRequirements.

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  installed size is  7.6Mb
  sub-directories of 1Mb or more:
    libs   5.8Mb

  installed size is  6.7Mb
  sub-directories of 1Mb or more:
    libs   4.9Mb

GNU make is a SystemRequirements.

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