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In DBSCAN, what does the term 'epsilon' refer to?

Practice Questions

Q1
In DBSCAN, what does the term 'epsilon' refer to?
  1. The minimum number of points required to form a cluster
  2. The maximum distance between two points to be considered in the same cluster
  3. The number of clusters to form
  4. The density of the clusters

Questions & Step-by-Step Solutions

In DBSCAN, what does the term 'epsilon' refer to?
  • Step 1: Understand that DBSCAN is a clustering algorithm used to group similar data points together.
  • Step 2: Know that in DBSCAN, we look at the distance between points to decide if they belong to the same group.
  • Step 3: The term 'epsilon' (often written as ε) is a specific distance value.
  • Step 4: If two points are within this 'epsilon' distance from each other, they are considered to be in the same cluster.
  • Step 5: If the distance between two points is greater than 'epsilon', they are not in the same cluster.
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