How to detect outliers using DBSCAN? 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
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.