juniorCurse of Dimensionality
Why does high dimensionality affect distance metrics?
Updated May 15, 2026
Short answer
Distances between points become increasingly similar in high dimensions.
Deep explanation
Euclidean distance loses discrimination power as dimensionality grows.
Real-world example
Recommendation systems comparing user profiles.
Common mistakes
- Using Euclidean distance blindly in high dimensions.
Follow-up questions
- What is distance concentration?
- What alternatives exist?