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The focus of this book is a detailed study of characteristics and behavior of elastic similarity measures in distance-based classifiers (1NN and different kNN variants) for time series data. The choice of similarity measure is crucial in various tasks of time-series analysis such as classification, clustering, prediction and anomaly detection. It is extremely important since it should correctly reflect the underlying similarity between the considered time series.

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  • 发表日期：

    2025年

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  • Zoltán Gellér,
  • Vladimir Kurbalija,
  • Miloš Radovanović,
  • Mirjana Ivanović

摘要

The focus of this book is a detailed study of characteristics and behavior of elastic similarity measures in distance-based classifiers (1NN and different kNN variants) for time series data. The choice of similarity measure is crucial in various tasks of time-series analysis such as classification, clustering, prediction and anomaly detection. It is extremely important since it should correctly reflect the underlying similarity between the considered time series.