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Which clustering algorithm is based on the concept of density?

Practice Questions

Q1
Which clustering algorithm is based on the concept of density?
  1. K-Means
  2. Hierarchical Clustering
  3. DBSCAN
  4. Gaussian Mixture Model

Questions & Step-by-Step Solutions

Which clustering algorithm is based on the concept of density?
  • Step 1: Understand what clustering means. Clustering is a way to group similar data points together.
  • Step 2: Learn about density in data. Density refers to how many data points are close to each other in a space.
  • Step 3: Identify the algorithm that uses density to form clusters. The algorithm is called DBSCAN.
  • Step 4: Know what DBSCAN stands for. It means Density-Based Spatial Clustering of Applications with Noise.
  • Step 5: Understand how DBSCAN works. It finds areas where data points are dense and groups them into clusters.
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