When using PCA, the data must be ___________ before applying the algorithm to ensure that each feature contributes equally.

Before applying PCA, the data must be normalized to ensure that each feature contributes equally to the principal components. Normalizing the data means that each feature will have a mean of 0 and a standard deviation of 1, thus ensuring that no feature dominates the others.