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.