Completed by Angela Diamidia
The principal component analysis (PCA) is a technique for reducing the dimensionality of large datasets that are sometimes difficult to interpret. It helps with interpretability by reducing the number of variables of a data set and preserving important information. PCA supposes data with large variation is relevant.