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Outlier Detection In Machine Learning

January 27, 2021 by systems

Now got LOF value for all the 7 point we have namely a,b,c,s,e,f,g and p.

Sort the LOF value in descending order and take out the larger value

  1. LOF(f) = 89.04
  2. LOF(g) = 77.7
  3. LOF(p) = 25.48
  4. LOF(b) = 25.48
  5. LOF(c) = 25.48
  6. LOF(d) = 25.09
  7. LOF(a) = 23.16
  8. LOF(e) = 23.16

Now we can eliminate point f as it has the larger value (so f is an outlier). Next thing we can see second larger value is g which is also a quite large value so we can eliminate that also (g is also an outlier) just for this data set.

Some references

  • http://www.cse.ust.hk/~leichen/courses/comp5331/lectures/LOF_Example.pdf
  • https://en.m.wikipedia.org/wiki/Local_outlier_factor

Thank you

Filed Under: Machine Learning

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