How does high dimensionality affect clustering stability?
Updated May 15, 2026
Short answer
Clusters become unstable and sensitive to noise.
Deep explanation
Distance metrics degrade, causing inconsistent cluster assignments.
Real-world example
Customer segmentation in sparse datasets.
Common mistakes
- Running clustering without preprocessing.
Follow-up questions
- How to improve stability?
- Which algorithms are robust?