Monthly Archives: January 2017

SVD and Eigenvectors for Big Data

People generally believe that a PC can handle SVD for matrices only up to thousands by thousands. Textbooks also suggest that it is not wise to compute singular vectorsĀ one by one. In this post, I’ll refute both statements. In particular, … Continue reading

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