juniorCurse of Dimensionality
Why is feature scaling important in high dimensions?
Updated May 15, 2026
Short answer
It prevents dominant features from skewing distances.
Deep explanation
Without scaling, high-range features dominate Euclidean distance.
Real-world example
Mixing age and income features in models.
Common mistakes
- Ignoring normalization step.
Follow-up questions
- Which scaler is best?
- Does scaling solve curse fully?