Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?
Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?
Summary Principal component analysis (PCA) is a method of choice for dimension reduction. In the current context of data explosion, online techniques that do not require storing all data in memory are indispensable to perform the PCA of streaming data and/or massive data. Despite the wide availability of recursive algorithms …