Correlation based Dynamic Time Warping

Zoltán Bankó, János Abonyi

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Dynamic Time Warping (DTW) is a widely used technique for univariate time series comparison. This paper proposes a new algorithm for the comparison of multivariate time series which generalize DTW for the needs of correlated multivariate time series.

Original languageEnglish
Pages295-306
Number of pages12
Publication statusPublished - Dec 1 2007
Event8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007 - Budapest, Hungary
Duration: Nov 15 2007Nov 17 2007

Other

Other8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007
CountryHungary
CityBudapest
Period11/15/0711/17/07

Keywords

  • Dynamic Time Warping
  • Multivariate time series
  • Principal component analysis
  • Segmentation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    Bankó, Z., & Abonyi, J. (2007). Correlation based Dynamic Time Warping. 295-306. Paper presented at 8th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics, CINTI 2007, Budapest, Hungary.