ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series

@inproceedings{Achtert2009ELKIIT,
  title={ELKI in Time: ELKI 0.2 for the Performance Evaluation of Distance Measures for Time Series},
  author={Elke Achtert and T. Bernecker and H. Kriegel and Erich Schubert and A. Zimek},
  booktitle={SSTD},
  year={2009}
}
  • Elke Achtert, T. Bernecker, +2 authors A. Zimek
  • Published in SSTD 2009
  • Computer Science
  • ELKI is a unified software framework, designed as a tool suitable for evaluation of different algorithms on high dimensional real-valued feature-vectors. A special case of high dimensional real-valued feature-vectors are time series data where traditional distance measures like L p -distances can be applied. However, also a broad range of specialized distance measures like, e.g., dynamic time-warping, or generalized distance measures like second order distances, e.g., shared-nearest-neighbor… CONTINUE READING
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