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docs/Tutorial_Multidimensional_Motif_Discovery.ipynb

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"However, when we examine `T3`, its motif pair are overlapping each other starting near position `50` (dotted vertical lines) and they are relatively far away from the motifs discovered in `T1` and `T2`. Oh, no!\n",
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"In fact, `T3` is a actually \"random walk\" time series that was purposely included in this set as a decoy and, unlike `T1` and `T2`, `T3` does not contain any conserved behavior whatsoever despite the fact that the distance between its motif pair is `1.1`, a red herring. This illustrates a few important points:\n",
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"In fact, `T3` is actually a \"random walk\" time series that was purposely included in this set as a decoy and, unlike `T1` and `T2`, `T3` does not contain any conserved behavior whatsoever despite the fact that the distance between its motif pair is `1.1`, a red herring. This illustrates a few important points:\n",
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"1. if there are additional irrelevant dimensions (i.e., `T3`), you will do about as well as random chance at discovering multi-dimensional motifs if you don't ignore/dismiss those distracting dimensions\n",
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"2. if you suspect that there are motifs in only a subset of the time series, how do you know which dimensions are involved, or how do you even know how many dimensions are relevant?\n",

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