Dimensionality reduction projects high-dimensional data into fewer dimensions while preserving important structure for analysis or visualization.
AI Glossary
Dimensionality Reduction
Coverage in development
Dimensionality reduction projects high-dimensional data into fewer dimensions while preserving important structure for analysis or visualization.
Definition
Plain English explanation
It compresses many features into a smaller set that is easier to plot or feed to other models.
Related glossary terms
Last reviewed
Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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