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Most standard procedures and metrics for manipulating time series were reviewed in [1] and are summarized in the present section. Denoting by D the time series similarity measure, its calculation can be grouped in three main categories depending on the way it performs: (i) operating directly with the original time series data; (ii) operating on some transformation performed on the original time series; and (iii) operating indirectly from metrics derived from the original data.

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Time Series: Metrics and Alignment

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Francisco Chinesta,
  • Elías Cueto,
  • Victor Champaney,
  • Chady Ghnatios,
  • Amine Ammar,
  • Nicolas Hascoët,
  • David González,
  • Icíar Alfaro,
  • Daniele Di Lorenzo,
  • Angelo Pasquale,
  • Dominique Baillargeat

摘要

Most standard procedures and metrics for manipulating time series were reviewed in [1] and are summarized in the present section. Denoting by D the time series similarity measure, its calculation can be grouped in three main categories depending on the way it performs: (i) operating directly with the original time series data; (ii) operating on some transformation performed on the original time series; and (iii) operating indirectly from metrics derived from the original data.