You have two very similar clusters in your dataset that DBSCAN is not separating well. What might be the problem and how could you resolve it?

  • Increase Epsilon; Decrease MinPts
  • Increase Epsilon; Increase MinPts
  • Reduce Epsilon; Keep MinPts the same
  • Reduce both Epsilon and MinPts
If DBSCAN is not separating two very similar clusters well, it may be due to the Epsilon being too large, causing the clusters to merge. Reducing Epsilon while keeping MinPts the same can make the algorithm more sensitive to slight differences, allowing it to differentiate between the similar clusters.
Add your answer
Loading...

Leave a comment

Your email address will not be published. Required fields are marked *