juniorData Mining
What is clustering in data mining?
Updated May 15, 2026
Short answer
Clustering is grouping similar data points without labels.
Deep explanation
Clustering is an unsupervised learning technique that partitions data based on similarity metrics. Algorithms like K-Means, DBSCAN, and hierarchical clustering identify hidden structures in data.
Real-world example
Grouping customers based on purchasing behavior.
Common mistakes
- Assuming clusters always exist in data.
Follow-up questions
- What is K-Means?
- What is DBSCAN?