Data Science, Factor Analysis, Data, Machine Learning, Statistics.
variance. Reduce redundancy, by minimizing the covariance between pairs of features. The basis of PCA is the covariance matrix and, in practice, there are two approaches to identify the principal components: Calculate the eigenvectors of the covariance matrix. Calculate the Singular Value