time_series:dtw

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time_series:dtw [2014/12/24 23:57] – phreazertime_series:dtw [2014/12/25 01:04] – [Dynamic Time Warping] phreazer
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 Iterative Deepening Dynamic Time Warping for Time Series Iterative Deepening Dynamic Time Warping for Time Series
  
 +Normalisieren der Distanzen mit der Länge des Warping Path. (Siehe "Indexing Multi-Dimensional Time-Series").
 ==== PDTW ==== ==== PDTW ====
  
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 $$d(i,j) = \sum_{k=1}^K(t(k,i)-r(k,j))^2$$ $$d(i,j) = \sum_{k=1}^K(t(k,i)-r(k,j))^2$$
 +
 +==== Multiple Multidimensional DTW ====
 +
 +Gleichzeitiges Alignment mehrerer Zeitreihen
 +
 +Quelle: Multiple Multidimensional Sequence Alignment Using Generalized Dynamic Time Warping
 ==== Literatur ==== ==== Literatur ====
 === A Scalable Method for Time Series Clustering === === A Scalable Method for Time Series Clustering ===
  • time_series/dtw.txt
  • Last modified: 2014/12/25 01:11
  • by phreazer