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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

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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

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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.

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  • $\begingroup$ Thanks for your help ^_^ $\endgroup$ – Nuha Oct 26 '20 at 11:46

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