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An outlier is an observation that appears to be unusual or not well described relative to a simple characterization of a dataset. A discomfiting possibility is that these data come from a different population than the one intended to be studied.

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Data-driven removal of extreme outliers with Naive Bayes or similar technique

N~2000 But as you can see in the above figure, the distribution of the above-mentioned variables are extremely long-tailed, i.e. there are some extreme outliers but they are sparse, and the distributions … One practical requirement would be that the technique is already implemented in some software (preferably R) because the removal of these outliers is just a small step in the huge process of my work... …
grssnbchr's user avatar
  • 634
1 vote
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Filtering outliers from geo-spatial-temporal log

This solves both the problem of these extreme outliers (Africa and China in this case) because these are GPS errors that are rather sporadic (i.e. these points won't be clustered), and also the problem …
grssnbchr's user avatar
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