Data Science, Machine Learning, Pattern Recognition, Pca Analysis, Data Reduction.
Alternatively, we can obtain principal components from the correlation matrix C by computing its eigenvalue decomposition: Here, V represents the eigenvectors, and D signifies the eigenvalues of C. Lets consider some example to better understand PCA. Example : Multivariate Gaussian Distribution