juniorCurse of Dimensionality
What is dimensionality reduction?
Updated May 15, 2026
Short answer
Technique to reduce number of features while preserving structure.
Deep explanation
Methods like PCA transform data into lower-dimensional space.
Real-world example
Compressing image features.
Common mistakes
- Losing important variance.
Follow-up questions
- What is PCA?
- Does it lose information?