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A Comparison of Progressive and Iterative Centroid Estimation Approaches Under Time Warp

  • Saeid Soheily-KhahEmail author
  • Ahlame Douzal-Chouakria
  • Eric Gaussier
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9785)

Abstract

Estimating the centroid of a set of time series under time warp is a major topic for many temporal data mining applications, as summarization a set of time series, prototype extraction or clustering. The task is challenging as the estimation of centroid of time series faces the problem of multiple temporal alignments. This work compares the major progressive and iterative centroid estimation methods, under the dynamic time warping, which currently is the most relevant similarity measure in this context.

Keywords

Centroid estimation Multiple temporal alignment Dynamic time warping Time series 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Saeid Soheily-Khah
    • 1
    Email author
  • Ahlame Douzal-Chouakria
    • 1
  • Eric Gaussier
    • 1
  1. 1.Université Grenoble Alpes, CNRS - LIG/AMAGrenobleFrance

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