Some recent results showed that renormalization group can be considered as a promising framework to address open issues in data analysis. In this work, we focus on one of these aspects, closely related principal component analysis for the case large dimensional sets with covariance having nearly continuous spectrum. case, distinction between "noise-like" and "non-noise" modes becomes arbitrary ...