midPCA
What is Incremental PCA and when is it used?
Updated May 17, 2026
Short answer
Incremental PCA processes data in batches for large-scale or streaming datasets.
Deep explanation
IncrementalPCA updates principal components using mini-batches instead of full dataset, making it suitable for large datasets that cannot fit into memory. It approximates standard PCA with slightly lower accuracy but much better scalability.
Real-world example
Streaming analytics for user behavior logs.
Common mistakes
- Expecting identical results to full PCA.
Follow-up questions
- Is it exact PCA?
- Why use it?