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--- time_series:representation [2014/08/12 21:45] – angelegt phreazer
+++ time_series:representation [2015/01/11 15:48] (current) – [DFT] phreazer
@@ Line 1: / Line 1: @@
+====== Features ======
+===== Statistik =====
+Für jede Dimension (Aggregate):
+  * Mittelwert
+  * Standardabweichung
+  * Skewness, Kurtosis, höhere Momente
+  * Maxima, Minima
+Zeitreihensicht:
+  * Crosscorrelation zwischen Dimensionen und Autokorrelation
+  * Ordnung AR/MA, Parameter
+Modellparameter
+http://stats.stackexchange.com/questions/50807/features-for-time-series-classification
+http://nips.cc/Conferences/2012/Program/event.php?ID=3217
+http://robjhyndman.com/hyndsight/tscharacteristics/
 ====== Transformationen ======
+===== SAX =====
+http://stats.stackexchange.com/questions/3238/time-series-clustering-in-r
 ===== SVD =====
   * SVD: Problem bei verschieden langen Zeitreihen
@@ Line 10: / Line 29: @@
 ===== DFT =====
 http://stats.stackexchange.com/questions/51475/series-dimensionality-reduction-for-classification-input?rq=1
+http://stats.stackexchange.com/questions/9475/time-series-clustering/19042#19042
+https://www.youtube.com/watch?v=wd6hAPS4ILc
 ===== Wavelet =====
 http://stats.stackexchange.com/questions/51475/series-dimensionality-reduction-for-classification-input?rq=1
+http://stats.stackexchange.com/questions/39007/clustering-time-series-with-wavelets-in-r?rq=1
+===== Distanzmaße =====
+==== Dynamic Time Warping ====
+KNN + Dynamic Time Warping.
+http://stats.stackexchange.com/questions/66027/time-series-classification-very-poor-results?rq=1