Time series classification with ensembles of elastic distance measures

@article{Lines2014TimeSC,
  title={Time series classification with ensembles of elastic distance measures},
  author={Jason Lines and Anthony J. Bagnall},
  journal={Data Mining and Knowledge Discovery},
  year={2014},
  volume={29},
  pages={565-592}
}
Several alternative distance measures for comparing time series have recently been proposed and evaluated on time series classification (TSC) problems. These include variants of dynamic time warping (DTW), such as weighted and derivative DTW, and edit distance-based measures, including longest common subsequence, edit distance with real penalty, time warp with edit, and move–split–merge. These measures have the common characteristic that they operate in the time domain and compensate for… CONTINUE READING
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