A memory-based method to select the number of relevant components in Principal Component Analysis

Anshul Verma, Pierpaolo Vivo, Tiziana Di Matteo

We propose a new data-driven method to select the optimal number of relevant components in Principal Component Analysis (PCA). This new method applies to correlation matrices whose…