What is cosine similarity in clustering?

Updated May 15, 2026

Short answer

Cosine similarity measures angle between vectors.

Deep explanation

It is useful for text and high-dimensional sparse data.

Real-world example

Document similarity in search engines.

Common mistakes

  • Confusing cosine similarity with Euclidean distance.

Follow-up questions

  • When to use cosine similarity?
  • What is range?

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