Data Science, Factor Analysis, Data, Machine Learning, Statistics.
noise and redundancy in the dataset. It uses the covariance matrix to analyze: Variance of each feature. It will show if a feature is relevant or pure noise, and we can read that in the diagonal cells. Strength of linear relationship between pairs of features. This helps to spot redundant features,