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Please download it as the tutorial will reference it. | Please download it as the tutorial will reference it. | ||
=== False Nearest Neighbors === | === False Nearest Neighbors === | ||
This function uses a method to determine the minimum sufficient embedding dimension. As a demonstration we will create a plot that contains an Ikeda Map, a Henon Map and a Henon Map corrupted by 10% of Gaussian noise. | This function uses a method to determine the minimum sufficient embedding dimension. It is based on the [http://www.mpipks-dresden.mpg.de/~tisean/Tisean_3.0.1/docs/chaospaper/node9.html#SECTION00032200000000000000 False Nearest Neighbors] section of the TISEAN documentation. As a demonstration we will create a plot that contains an Ikeda Map, a Henon Map and a Henon Map corrupted by 10% of Gaussian noise. | ||
{{Code|Analyzing false nearest neighbors|<syntaxhighlight lang="octave" style="font-size:13px"> | {{Code|Analyzing false nearest neighbors|<syntaxhighlight lang="octave" style="font-size:13px"> | ||
# Create maps | # Create maps |
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