Prefix and Suffix Invariant Dynamic Time Warping

@article{Silva2016PrefixAS,
  title={Prefix and Suffix Invariant Dynamic Time Warping},
  author={Diego Furtado Silva and Gustavo E. A. P. A. Batista and Eamonn J. Keogh},
  journal={2016 IEEE 16th International Conference on Data Mining (ICDM)},
  year={2016},
  pages={1209-1214}
}
While there exist a plethora of classification algorithms for most data types, there is an increasing acceptance that the unique properties of time series mean that the combination of nearest neighbor classifiers and Dynamic Time Warping (DTW) is very competitive across a host of domains, from medicine to astronomy to environmental sensors. While there has been significant progress in improving the efficiency and effectiveness of DTW in recent years, in this work we demonstrate that an… CONTINUE READING

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