Ensemble Principal Component Analysis
Ensemble Principal Component Analysis
Efficient representations of data are essential for processing, exploration, and human understanding, and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Principal Component Analysis</i> (PCA) is one of the most common dimensionality reduction techniques used for the analysis of large, multivariate datasets today. Two well-known limitations of the method include sensitivity to outliers and noise and …