I am working on a Fraudulent Cash Transaction Detection System using DBSCAN and I want to know what is the proper way to identify outliers?

Thank you


I had a problem how to represent the outer points extracted by the DBSCAN algorithm in Python visualization techniques, and found the solution here: https://www.youtube.com/watch?v=eq1zKgCFwkk

Enjoy your time


1 Answer 1


There are two parameters to DBSCAN: minPts, and ε.

You have an outlier point if there are fewer than minPts points within ε of it (using the appropriate distance metric). If this isn't the case, it's a sufficiently dense region that there is a cluster here.

  • $\begingroup$ Thanks for your help ^_^ $\endgroup$
    – Xx_22
    Oct 26, 2020 at 11:46

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.

Not the answer you're looking for? Browse other questions tagged or ask your own question.