Machine Learning, Principal Component, Artificial Intelligence, Unsupervised Learning, Pca Analysis.
ordered so that PC1 accounts for as much of the variability in the data as possible, PC2 accounts for as much of the remaining variability as possible, and so on. The “normalized” term indicates that the principal components are scaled so that their variances equal 1. This normalization is part of