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

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Euclidean distance
Manhattan distance
Cosine similarity
Logistic distance

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

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

Steps: 6

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.

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

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