Multivariate Dynamic Time Warping

Multivariate Dynamic Time Warping is a distance measurement method that extends the Dynamic Time Warping technique to align and compare multivariate time series by jointly considering temporal misalignments across multiple dimensions.

32

Publications

1.8K

Citations

111

Authors

71

Institutions

Publications per year

2017–2026

16

Authors

111

  1. YZ
    Yichen Zhou

    National University of Singapore, Singapore

    2 publications · 189 citations

    2

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  2. SI
    Stephen I. Ryu

    Stanford University, United States

    2 publications · 127 citations

    2

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  3. DH
    David H. Brann

    Harvard University, United States

    2 publications · 127 citations

    2

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  4. EB
    Eoin Brophy

    Dublin City University, Ireland

    2 publications · 59 citations

    2

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  5. EM
    Eric M. Trautmann

    Howard Hughes Medical Institute, United States

    2 publications · 127 citations

    2

    h-index

1–5 of 111

Venues

  1. Expert Systems with Applications

    2 publications · 290 citations

    2

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  2. ScholarWorks@UMassAmherst (University of Massachusetts Amherst)

    Repository · 1 publications · 68 citations

    1

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  3. 1

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  4. Journal of Chromatography A

    1 publications · 74 citations

    1

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  5. Information Sciences

    1 publications · 28 citations

    1

    h-index

1–5