16 citations · 27 across the 5 of their papers we have counts for
1 paper · 1 filter
Jian Vora
Principal Component Analysis is a novel way of of dimensionality reduction. This problem essentially boils down to finding the top k eigen vectors of the data covariance matrix. A…