juniorCurse of Dimensionality
How does dimensionality affect clustering?
Updated May 15, 2026
Short answer
Clusters become less distinguishable.
Deep explanation
Distances between clusters shrink relatively.
Real-world example
Customer segmentation in high-feature datasets.
Common mistakes
- Ignoring dimensionality reduction before clustering.
Follow-up questions
- Which clustering works better?
- Why KMeans fails?