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What is the primary goal of the K-means clustering algorithm?

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Question: What is the primary goal of the K-means clustering algorithm?

Options:

  1. Minimize the distance between points in the same cluster
  2. Maximize the distance between different clusters
  3. Both A and B
  4. None of the above

Correct Answer: Both A and B

Solution: 

The primary goal of K-means clustering is to minimize the distance between points in the same cluster while maximizing the distance between different clusters.

What is the primary goal of the K-means clustering algorithm?

Practice Questions

Q1
What is the primary goal of the K-means clustering algorithm?
  1. Minimize the distance between points in the same cluster
  2. Maximize the distance between different clusters
  3. Both A and B
  4. None of the above

Questions & Step-by-Step Solutions

What is the primary goal of the K-means clustering algorithm?
Correct Answer: To minimize the distance between points in the same cluster and maximize the distance between different clusters.
  • Step 1: Understand that K-means clustering is a method used to group similar data points together.
  • Step 2: Know that each group is called a 'cluster'.
  • Step 3: The algorithm tries to put data points that are close to each other into the same cluster.
  • Step 4: It also tries to keep different clusters as far apart from each other as possible.
  • Step 5: The main goal is to make sure that points in the same cluster are very similar (minimize distance) and points in different clusters are very different (maximize distance).
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