Machine Learning, Principal Component, Artificial Intelligence, Unsupervised Learning, Pca Analysis.
the data. The second principal component captures the most variance possible while being orthogonal to the first, and so on for subsequent components. The more variance a principal component accounts for, the more it tells us about the structure of the data. For example, if the first principal