Machine Learning, Data Science, R Programming, Neural Networks, Towards Data Science.
eigenvalues. # PCA pca_trainset = trainset %>% select( -class ) pca_testset = testset pca = prcomp( pca_trainset, scale = T ) # variance pr_var = ( pca$sdev )^2 # % of variance prop_varex = pr_var / sum( pr_var ) # Plot plot( prop_varex, xlab = "Principal Component", ylab = "Proportion of Variance