Comparison of the Quality of Robust PCA versions in the Reducion of datasets with Outliers

The paper considers PCA modifications based on robust estimates of correlation matrices of observed multivariate correlated indicators. Based on simulated and real socio-economic data, the robust versions of the PCA were compared with the traditional version. A higher quality of robust PCA is demonstrated when observations contain outliers or have heavy-tailed distributions.