juniorUnsupervised Learning
What is feature scaling in unsupervised learning?
Updated May 15, 2026
Short answer
Feature scaling normalizes data to ensure equal feature contribution.
Deep explanation
Algorithms like KMeans rely on distance metrics, so scaling prevents bias.
Real-world example
Scaling age and income before clustering customers.
Common mistakes
- Skipping scaling before distance-based models.
Follow-up questions
- What are scaling methods?
- Why is scaling important?