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Which clustering method can automatically determine the number of clusters?

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Question: Which clustering method can automatically determine the number of clusters?

Options:

  1. K-means
  2. Hierarchical clustering
  3. DBSCAN
  4. Gaussian Mixture Models

Correct Answer: DBSCAN

Solution:

DBSCAN can automatically determine the number of clusters based on the density of data points.

Which clustering method can automatically determine the number of clusters?

Practice Questions

Q1
Which clustering method can automatically determine the number of clusters?
  1. K-means
  2. Hierarchical clustering
  3. DBSCAN
  4. Gaussian Mixture Models

Questions & Step-by-Step Solutions

Which clustering method can automatically determine the number of clusters?
  • Step 1: Understand what clustering means. Clustering is a way to group similar data points together.
  • Step 2: Learn about different clustering methods. Some methods require you to specify the number of clusters beforehand.
  • Step 3: Identify DBSCAN as a clustering method. DBSCAN stands for Density-Based Spatial Clustering of Applications with Noise.
  • Step 4: Know that DBSCAN does not need you to tell it how many clusters to find. Instead, it looks at the density of data points.
  • Step 5: Realize that DBSCAN groups points that are close together and marks points that are far away as noise.
  • Step 6: Conclude that because of its density-based approach, DBSCAN can automatically determine the number of clusters.
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