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Which of the following distance metrics is commonly used in K-means clustering?

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Question: Which of the following distance metrics is commonly used in K-means clustering?

Options:

  1. Manhattan distance
  2. Cosine similarity
  3. Euclidean distance
  4. Jaccard index

Correct Answer: Euclidean distance

Solution: 

K-means typically uses Euclidean distance to measure the distance between data points and centroids.

Which of the following distance metrics is commonly used in K-means clustering?

Practice Questions

Q1
Which of the following distance metrics is commonly used in K-means clustering?
  1. Manhattan distance
  2. Cosine similarity
  3. Euclidean distance
  4. Jaccard index

Questions & Step-by-Step Solutions

Which of the following distance metrics is commonly used in K-means clustering?
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