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What type of clustering algorithm is DBSCAN?

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Question: What type of clustering algorithm is DBSCAN?

Options:

  1. Hierarchical
  2. Partitioning
  3. Density-based
  4. Centroid-based

Correct Answer: Density-based

Solution: 

DBSCAN is a density-based clustering algorithm that groups together points that are closely packed.

What type of clustering algorithm is DBSCAN?

Practice Questions

Q1
What type of clustering algorithm is DBSCAN?
  1. Hierarchical
  2. Partitioning
  3. Density-based
  4. Centroid-based

Questions & Step-by-Step Solutions

What type of clustering algorithm is DBSCAN?
  • Step 1: Understand that clustering is a way to group similar items together.
  • Step 2: Learn that DBSCAN stands for Density-Based Spatial Clustering of Applications with Noise.
  • Step 3: Know that DBSCAN looks for areas where points are close together, which means they are dense.
  • Step 4: Realize that DBSCAN groups these dense areas into clusters.
  • Step 5: Understand that points that are not in dense areas are considered noise and are not grouped.
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