An Empirical Evaluation of Similarity Measures for Time Series Classification

@article{Serr2014AnEE,
  title={An Empirical Evaluation of Similarity Measures for Time Series Classification},
  author={Joan Serr{\`a} and Josep Llu{\'i}s Arcos},
  journal={Knowl.-Based Syst.},
  year={2014},
  volume={67},
  pages={305-314}
}
Time series are ubiquitous, and a measure to assess their similarity is a core part of many computational systems. In particular, the similarity measure is the most essential ingredient of time series clustering and classification systems. Because of this importance, countless approaches to estimate time series similarity have been proposed. However, there is a lack of comparative studies using empirical, rigorous, quantitative, and large-scale assessment strategies. In this article, we provide… CONTINUE READING
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