What is clustering in unsupervised learning?

Updated May 15, 2026

Short answer

Clustering groups similar data points together based on feature similarity.

Deep explanation

It identifies inherent groupings in data using distance metrics like Euclidean or cosine similarity.

Real-world example

Grouping users with similar browsing behavior.

Common mistakes

  • Choosing number of clusters arbitrarily.

Follow-up questions

  • What are clustering algorithms?
  • What is similarity measure?

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