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Sixiang.Hu's user avatar
Sixiang.Hu's user avatar
Sixiang.Hu
  • Member for 9 years, 8 months
  • Last seen more than 3 years ago
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Is it feasible to use decision tree algorithms for sensor fault detection?
If your data is generated (so as response) , the tree will come up with the logic you define the response. Hence why not just use the logic you already have? Because the tree will just model your logic anyway.
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Is it feasible to use decision tree algorithms for sensor fault detection?
Welcome! To bring more detail, how 's the size of training data? Any requirement of accuracy of prediction?
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Is it possible to cluster data according to a target?
Have a check about neural network autoencoder, which does something similar.
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