https://github.com/master/tensorflow-ipca

Incremental PCA in TensorFlow
https://github.com/master/tensorflow-ipca

tensorflow

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Incremental PCA in TensorFlow

• Host: GitHub
• URL: https://github.com/master/tensorflow-ipca
• Owner: master
• Created: 2020-09-13T18:09:23.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-09-13T21:35:55.000Z (almost 6 years ago)
• Last Synced: 2025-07-04T20:07:22.982Z (12 months ago)
• Topics: tensorflow
• Language: Python
• Homepage:
• Size: 1.95 KB
• Stars: 7
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Incremental PCA in TensorFlow

Implementation of the incremental principal component analysis (IPCA) [1] in

TensorFlow. IPCA is typically used as a replacement for principal component

analysis (PCA) when the dataset to be decomposed is too large to fit in

memory.

## Requirements

 * Python 3.5+

 * TensorFlow 1.6+

## References

 1. Ross, David A., et al. "Incremental learning for robust visual tracking."

 International journal of computer vision 77.1-3 (2008): 125-141.