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Which of the following is NOT a common distance metric used in clustering?

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Question: Which of the following is NOT a common distance metric used in clustering?

Options:

  1. Euclidean distance
  2. Manhattan distance
  3. Cosine similarity
  4. Logistic distance

Correct Answer: Logistic distance

Solution: 

Logistic distance is not a standard distance metric used in clustering; common metrics include Euclidean, Manhattan, and Cosine similarity.

Which of the following is NOT a common distance metric used in clustering?

Practice Questions

Q1
Which of the following is NOT a common distance metric used in clustering?
  1. Euclidean distance
  2. Manhattan distance
  3. Cosine similarity
  4. Logistic distance

Questions & Step-by-Step Solutions

Which of the following is NOT a common distance metric used in clustering?
Correct Answer: Logistic distance
  • Step 1: Understand what a distance metric is. A distance metric is a way to measure how far apart two points are in a space.
  • Step 2: Learn about common distance metrics used in clustering. These include:
  • Step 2a: Euclidean distance, which measures the straight-line distance between two points.
  • Step 2b: Manhattan distance, which measures the distance between two points along axes at right angles (like a grid).
  • Step 2c: Cosine similarity, which measures the angle between two vectors to determine how similar they are.
  • Step 3: Identify the option that is NOT a common distance metric. In this case, 'Logistic distance' is not a standard metric used in clustering.
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