Foundations · MLD-0253
Curse of dimensionality
Difficulties caused by high-dimensional spaces, such as sparse coverage and unreliable distance comparisons.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Nearest-neighbor search degrades with many irrelevant features.
Original caveat
Severity depends on data structure, not just dimension count.
Context and aliases
Level: Foundational. Stages: Theory · Training · Inference.
Tags: ML · DL · SLM · LLM.
Aliases: None recorded.
Related concepts
Original references
- Deep Learning: online textbook ↗ · Consulted
- Google Machine Learning Glossary ↗ · Consulted
- Original reference URL ↗